Memory usage before loading model = 101160728 Stage2Solver_3 is now getting to Work received node: gen cut: Rental Cost 0 scenario cost: 120035.44726566635654307901859283447265625 Optimization Status: 2 scenario cost: 120035.44726566635654307901859283447265625 optimization time for scenario: 20 = 0.0591719150543212890625 scenario cost: 110081.188438559634960256516933441162109375 Optimization Status: 2 scenario cost: 110081.188438559634960256516933441162109375 optimization time for scenario: 21 = 0.0480039119720458984375 scenario cost: 108933.960135266257566399872303009033203125 Optimization Status: 2 scenario cost: 108933.960135266257566399872303009033203125 optimization time for scenario: 22 = 0.054515838623046875 scenario cost: 114022.996981110438355244696140289306640625 Optimization Status: 2 scenario cost: 114022.996981110438355244696140289306640625 optimization time for scenario: 23 = 0.047276973724365234375 scenario cost: 98932.31576724527985788881778717041015625 Optimization Status: 2 scenario cost: 98932.31576724527985788881778717041015625 optimization time for scenario: 24 = 0.0450589656829833984375 scenario cost: 122934.303613802199834026396274566650390625 Optimization Status: 2 scenario cost: 122934.303613802199834026396274566650390625 optimization time for scenario: 25 = 0.0481569766998291015625 scenario cost: 106546.02454134260187856853008270263671875 Optimization Status: 2 scenario cost: 106546.02454134260187856853008270263671875 optimization time for scenario: 26 = 0.0432720184326171875 scenario cost: 122367.686502989745349623262882232666015625 Optimization Status: 2 scenario cost: 122367.686502989745349623262882232666015625 optimization time for scenario: 27 = 0.0408649444580078125 scenario cost: 128355.379286311203031800687313079833984375 Optimization Status: 2 scenario cost: 128355.379286311203031800687313079833984375 optimization time for scenario: 28 = 0.0450079441070556640625 scenario cost: 139053.9489800456794910132884979248046875 Optimization Status: 2 scenario cost: 139053.9489800456794910132884979248046875 optimization time for scenario: 29 = 0.0437920093536376953125 scenario cost: 218883.6622757542063482105731964111328125 Optimization Status: 2 scenario cost: 218883.6622757542063482105731964111328125 optimization time for scenario: 30 = 0.0216181278228759765625 scenario cost: 140695.14868249555001966655254364013671875 Optimization Status: 2 scenario cost: 140695.14868249555001966655254364013671875 optimization time for scenario: 31 = 0.0234820842742919921875 scenario cost: 196004.46399073977954685688018798828125 Optimization Status: 2 scenario cost: 196004.46399073977954685688018798828125 optimization time for scenario: 32 = 0.026254177093505859375 scenario cost: 147129.62043109998921863734722137451171875 Optimization Status: 2 scenario cost: 147129.62043109998921863734722137451171875 optimization time for scenario: 33 = 0.02765178680419921875 scenario cost: 195170.523672973620705306529998779296875 Optimization Status: 2 scenario cost: 195170.523672973620705306529998779296875 optimization time for scenario: 34 = 0.02207183837890625 scenario cost: 138491.56090907708858139812946319580078125 Optimization Status: 2 scenario cost: 138491.56090907708858139812946319580078125 optimization time for scenario: 35 = 0.0228688716888427734375 scenario cost: 108899.070670258995960466563701629638671875 Optimization Status: 2 scenario cost: 108899.070670258995960466563701629638671875 optimization time for scenario: 36 = 0.022698879241943359375 scenario cost: 148818.315533510758541524410247802734375 Optimization Status: 2 scenario cost: 148818.315533510758541524410247802734375 optimization time for scenario: 37 = 0.021459102630615234375 scenario cost: 160835.0935042431228794157505035400390625 Optimization Status: 2 scenario cost: 160835.0935042431228794157505035400390625 optimization time for scenario: 38 = 0.01393604278564453125 scenario cost: 118537.51785519230179488658905029296875 Optimization Status: 2 scenario cost: 118537.51785519230179488658905029296875 optimization time for scenario: 39 = 0.014257907867431640625 Sending cuts of back to the stg 1 solver Objective Value 22872.643751039737253449857234954833984375 memory usage: 112181656 received node: gen cut: Rental Cost 0 scenario cost: 114690.4136755610816180706024169921875 Optimization Status: 2 scenario cost: 114690.4136755610816180706024169921875 optimization time for scenario: 20 = 0.0338861942291259765625 scenario cost: 104736.154848455320461653172969818115234375 Optimization Status: 2 scenario cost: 104736.154848455320461653172969818115234375 optimization time for scenario: 21 = 0.0467011928558349609375 scenario cost: 103588.926545159672969020903110504150390625 Optimization Status: 2 scenario cost: 103588.926545159672969020903110504150390625 optimization time for scenario: 22 = 0.048346996307373046875 scenario cost: 109098.08716968251974321901798248291015625 Optimization Status: 2 scenario cost: 109098.08716968251974321901798248291015625 optimization time for scenario: 23 = 0.0479309558868408203125 scenario cost: 93587.2821771386661566793918609619140625 Optimization Status: 2 scenario cost: 93587.2821771386661566793918609619140625 optimization time for scenario: 24 = 0.0487511157989501953125 scenario cost: 117589.270023697870783507823944091796875 Optimization Status: 2 scenario cost: 117589.270023697870783507823944091796875 optimization time for scenario: 25 = 0.0475609302520751953125 scenario cost: 101508.8808376077213324606418609619140625 Optimization Status: 2 scenario cost: 101508.8808376077213324606418609619140625 optimization time for scenario: 26 = 0.056375980377197265625 scenario cost: 113063.604314213982434011995792388916015625 Optimization Status: 2 scenario cost: 113063.604314213982434011995792388916015625 optimization time for scenario: 27 = 0.046801090240478515625 scenario cost: 123010.34569620285765267908573150634765625 Optimization Status: 2 scenario cost: 123010.34569620285765267908573150634765625 optimization time for scenario: 28 = 0.0518429279327392578125 scenario cost: 114442.02220488755847327411174774169921875 Optimization Status: 2 scenario cost: 114442.02220488755847327411174774169921875 optimization time for scenario: 29 = 0.0467579364776611328125 scenario cost: 177919.27953267446719110012054443359375 Optimization Status: 2 scenario cost: 177919.27953267446719110012054443359375 optimization time for scenario: 30 = 0.02297306060791015625 scenario cost: 121271.899570982131990604102611541748046875 Optimization Status: 2 scenario cost: 121271.899570982131990604102611541748046875 optimization time for scenario: 31 = 0.021833896636962890625 scenario cost: 155040.0812476649298332631587982177734375 Optimization Status: 2 scenario cost: 155040.0812476649298332631587982177734375 optimization time for scenario: 32 = 0.023272037506103515625 scenario cost: 127560.34272852833964861929416656494140625 Optimization Status: 2 scenario cost: 127560.34272852833964861929416656494140625 optimization time for scenario: 33 = 0.0232450962066650390625 scenario cost: 154206.14092989874188788235187530517578125 Optimization Status: 2 scenario cost: 154206.14092989874188788235187530517578125 optimization time for scenario: 34 = 0.0230510234832763671875 scenario cost: 121033.977211572098894976079463958740234375 Optimization Status: 2 scenario cost: 121033.977211572098894976079463958740234375 optimization time for scenario: 35 = 0.0234458446502685546875 scenario cost: 103554.037080149821122176945209503173828125 Optimization Status: 2 scenario cost: 103554.037080149821122176945209503173828125 optimization time for scenario: 36 = 0.0235748291015625 scenario cost: 119962.22077298405929468572139739990234375 Optimization Status: 2 scenario cost: 119962.22077298405929468572139739990234375 optimization time for scenario: 37 = 0.0204069614410400390625 scenario cost: 130002.48953211025218479335308074951171875 Optimization Status: 2 scenario cost: 130002.48953211025218479335308074951171875 optimization time for scenario: 38 = 0.0137889385223388671875 scenario cost: 113192.48426508056581951677799224853515625 Optimization Status: 2 scenario cost: 113192.48426508056581951677799224853515625 optimization time for scenario: 39 = 0.013740062713623046875 Sending cuts of back to the stg 1 solver Objective Value 20158.7355344374300329945981502532958984375 memory usage: 112210040 received node: gen cut: Rental Cost 0 scenario cost: 107892.696328631442156620323657989501953125 Optimization Status: 2 scenario cost: 107892.696328631442156620323657989501953125 optimization time for scenario: 20 = 0.0582931041717529296875 scenario cost: 98217.448246716332505457103252410888671875 Optimization Status: 2 scenario cost: 98217.448246716332505457103252410888671875 optimization time for scenario: 21 = 0.0436649322509765625 scenario cost: 96105.986565354964113794267177581787109375 Optimization Status: 2 scenario cost: 96105.986565354964113794267177581787109375 optimization time for scenario: 22 = 0.0249431133270263671875 scenario cost: 105958.7639581432449631392955780029296875 Optimization Status: 2 scenario cost: 105958.7639581432449631392955780029296875 optimization time for scenario: 23 = 0.0359580516815185546875 scenario cost: 89426.860499759015510790050029754638671875 Optimization Status: 2 scenario cost: 89426.860499759015510790050029754638671875 optimization time for scenario: 24 = 0.0324518680572509765625 scenario cost: 109119.583504469032050110399723052978515625 Optimization Status: 2 scenario cost: 109119.583504469032050110399723052978515625 optimization time for scenario: 25 = 0.0263521671295166015625 scenario cost: 95617.25844800614868290722370147705078125 Optimization Status: 2 scenario cost: 95617.25844800614868290722370147705078125 optimization time for scenario: 26 = 0.02540111541748046875 scenario cost: 103848.866921488268417306244373321533203125 Optimization Status: 2 scenario cost: 103848.866921488268417306244373321533203125 optimization time for scenario: 27 = 0.0251629352569580078125 scenario cost: 115364.827789696792024187743663787841796875 Optimization Status: 2 scenario cost: 115364.827789696792024187743663787841796875 optimization time for scenario: 28 = 0.0258939266204833984375 scenario cost: 106165.778755761843058280646800994873046875 Optimization Status: 2 scenario cost: 106165.778755761843058280646800994873046875 optimization time for scenario: 29 = 0.02530002593994140625 scenario cost: 135769.47693558831815607845783233642578125 Optimization Status: 2 scenario cost: 135769.47693558831815607845783233642578125 optimization time for scenario: 30 = 0.025640010833740234375 scenario cost: 112898.5330911883502267301082611083984375 Optimization Status: 2 scenario cost: 112898.5330911883502267301082611083984375 optimization time for scenario: 31 = 0.02472209930419921875 scenario cost: 123696.45406248842482455074787139892578125 Optimization Status: 2 scenario cost: 123696.45406248842482455074787139892578125 optimization time for scenario: 32 = 0.0256559848785400390625 scenario cost: 116946.853071812191046774387359619140625 Optimization Status: 2 scenario cost: 116946.853071812191046774387359619140625 optimization time for scenario: 33 = 0.0346698760986328125 scenario cost: 120166.28236834774725139141082763671875 Optimization Status: 2 scenario cost: 120166.28236834774725139141082763671875 optimization time for scenario: 34 = 0.0505268573760986328125 scenario cost: 110409.620533910696394741535186767578125 Optimization Status: 2 scenario cost: 110409.620533910696394741535186767578125 optimization time for scenario: 35 = 0.039291858673095703125 scenario cost: 95999.244914932743995450437068939208984375 Optimization Status: 2 scenario cost: 95999.244914932743995450437068939208984375 optimization time for scenario: 36 = 0.04882717132568359375 scenario cost: 105367.990653574277530424296855926513671875 Optimization Status: 2 scenario cost: 105367.990653574277530424296855926513671875 optimization time for scenario: 37 = 0.0489079952239990234375 scenario cost: 116100.916696656538988463580608367919921875 Optimization Status: 2 scenario cost: 116100.916696656538988463580608367919921875 optimization time for scenario: 38 = 0.0482599735260009765625 scenario cost: 104417.899347148704691790044307708740234375 Optimization Status: 2 scenario cost: 104417.899347148704691790044307708740234375 optimization time for scenario: 39 = 0.0327990055084228515625 Sending cuts of back to the stg 1 solver Objective Value 18079.02220606920309364795684814453125 memory usage: 112184840 received node: gen cut: Rental Cost 0 scenario cost: 101727.851725364685989916324615478515625 Optimization Status: 2 scenario cost: 101727.851725364685989916324615478515625 optimization time for scenario: 40 = 0.0256359577178955078125 scenario cost: 118034.688370615403982810676097869873046875 Optimization Status: 2 scenario cost: 118034.688370615403982810676097869873046875 optimization time for scenario: 41 = 0.0589249134063720703125 scenario cost: 105045.77375291803036816418170928955078125 Optimization Status: 2 scenario cost: 105045.77375291803036816418170928955078125 optimization time for scenario: 42 = 0.0594241619110107421875 scenario cost: 99119.13341710515669547021389007568359375 Optimization Status: 2 scenario cost: 99119.13341710515669547021389007568359375 optimization time for scenario: 43 = 0.0544769763946533203125 scenario cost: 123634.82777257481939159333705902099609375 Optimization Status: 2 scenario cost: 123634.82777257481939159333705902099609375 optimization time for scenario: 44 = 0.0509431362152099609375 scenario cost: 102980.8559876960352994501590728759765625 Optimization Status: 2 scenario cost: 102980.8559876960352994501590728759765625 optimization time for scenario: 45 = 0.053452014923095703125 scenario cost: 104836.81984132490470074117183685302734375 Optimization Status: 2 scenario cost: 104836.81984132490470074117183685302734375 optimization time for scenario: 46 = 0.0526840686798095703125 scenario cost: 118656.8494668469647876918315887451171875 Optimization Status: 2 scenario cost: 118656.8494668469647876918315887451171875 optimization time for scenario: 47 = 0.02708911895751953125 scenario cost: 111844.44412502230261452496051788330078125 Optimization Status: 2 scenario cost: 111844.44412502230261452496051788330078125 optimization time for scenario: 48 = 0.0260379314422607421875 scenario cost: 105727.990630134358070790767669677734375 Optimization Status: 2 scenario cost: 105727.990630134358070790767669677734375 optimization time for scenario: 49 = 0.02661991119384765625 scenario cost: 91490.620004597803927026689052581787109375 Optimization Status: 2 scenario cost: 91490.620004597803927026689052581787109375 optimization time for scenario: 50 = 0.0304601192474365234375 scenario cost: 135907.30079937144182622432708740234375 Optimization Status: 2 scenario cost: 135907.30079937144182622432708740234375 optimization time for scenario: 51 = 0.048161029815673828125 scenario cost: 98806.76529780778218992054462432861328125 Optimization Status: 2 scenario cost: 98806.76529780778218992054462432861328125 optimization time for scenario: 52 = 0.0326650142669677734375 scenario cost: 95271.049312279836158268153667449951171875 Optimization Status: 2 scenario cost: 95271.049312279836158268153667449951171875 optimization time for scenario: 53 = 0.0261418819427490234375 scenario cost: 92041.17877623331150971353054046630859375 Optimization Status: 2 scenario cost: 92041.17877623331150971353054046630859375 optimization time for scenario: 54 = 0.0279300212860107421875 scenario cost: 99675.861108206605422310531139373779296875 Optimization Status: 2 scenario cost: 99675.861108206605422310531139373779296875 optimization time for scenario: 55 = 0.027347087860107421875 scenario cost: 103577.459130627496051602065563201904296875 Optimization Status: 2 scenario cost: 103577.459130627496051602065563201904296875 optimization time for scenario: 56 = 0.0269391536712646484375 scenario cost: 107202.38744077595765702426433563232421875 Optimization Status: 2 scenario cost: 107202.38744077595765702426433563232421875 optimization time for scenario: 57 = 0.03009891510009765625 scenario cost: 108177.875099551441962830722332000732421875 Optimization Status: 2 scenario cost: 108177.875099551441962830722332000732421875 optimization time for scenario: 58 = 0.025227069854736328125 scenario cost: 116164.79712867247872054576873779296875 Optimization Status: 2 scenario cost: 116164.79712867247872054576873779296875 optimization time for scenario: 59 = 0.0255429744720458984375 Sending cuts of back to the stg 1 solver Objective Value 17832.6330790800857357680797576904296875 memory usage: 112186360 received node: gen cut: Rental Cost 0 scenario cost: 100639.53359825708321295678615570068359375 Optimization Status: 2 scenario cost: 100639.53359825708321295678615570068359375 optimization time for scenario: 0 = 0.0564830303192138671875 scenario cost: 108543.366324288086616434156894683837890625 Optimization Status: 2 scenario cost: 108543.366324288086616434156894683837890625 optimization time for scenario: 1 = 0.0366799831390380859375 scenario cost: 114338.724184987499029375612735748291015625 Optimization Status: 2 scenario cost: 114338.724184987499029375612735748291015625 optimization time for scenario: 2 = 0.0320518016815185546875 scenario cost: 114923.57420050376094877719879150390625 Optimization Status: 2 scenario cost: 114923.57420050376094877719879150390625 optimization time for scenario: 3 = 0.0281140804290771484375 scenario cost: 118505.277824145377962850034236907958984375 Optimization Status: 2 scenario cost: 118505.277824145377962850034236907958984375 optimization time for scenario: 4 = 0.0271151065826416015625 scenario cost: 136877.9865935599082149565219879150390625 Optimization Status: 2 scenario cost: 136877.9865935599082149565219879150390625 optimization time for scenario: 5 = 0.0298240184783935546875 scenario cost: 107698.146722846388001926243305206298828125 Optimization Status: 2 scenario cost: 107698.146722846388001926243305206298828125 optimization time for scenario: 6 = 0.0263779163360595703125 scenario cost: 108504.85521957607124932110309600830078125 Optimization Status: 2 scenario cost: 108504.85521957607124932110309600830078125 optimization time for scenario: 7 = 0.02838611602783203125 scenario cost: 102548.70486540484125725924968719482421875 Optimization Status: 2 scenario cost: 102548.70486540484125725924968719482421875 optimization time for scenario: 8 = 0.026624202728271484375 scenario cost: 122458.274786219655652530491352081298828125 Optimization Status: 2 scenario cost: 122458.274786219655652530491352081298828125 optimization time for scenario: 9 = 0.02857208251953125 scenario cost: 110391.7381534581072628498077392578125 Optimization Status: 2 scenario cost: 110391.7381534581072628498077392578125 optimization time for scenario: 10 = 0.028127193450927734375 scenario cost: 93239.56993756801239214837551116943359375 Optimization Status: 2 scenario cost: 93239.56993756801239214837551116943359375 optimization time for scenario: 11 = 0.0399329662322998046875 scenario cost: 127856.464748735292232595384120941162109375 Optimization Status: 2 scenario cost: 127856.464748735292232595384120941162109375 optimization time for scenario: 12 = 0.0599958896636962890625 scenario cost: 118918.38776646196492947638034820556640625 Optimization Status: 2 scenario cost: 118918.38776646196492947638034820556640625 optimization time for scenario: 13 = 0.0646169185638427734375 scenario cost: 108795.16880176888662390410900115966796875 Optimization Status: 2 scenario cost: 108795.16880176888662390410900115966796875 optimization time for scenario: 14 = 0.0446088314056396484375 scenario cost: 125904.872339353561983443796634674072265625 Optimization Status: 2 scenario cost: 125904.872339353561983443796634674072265625 optimization time for scenario: 15 = 0.028337955474853515625 scenario cost: 123952.135931899960269220173358917236328125 Optimization Status: 2 scenario cost: 123952.135931899960269220173358917236328125 optimization time for scenario: 16 = 0.02696990966796875 scenario cost: 107420.1007380659575574100017547607421875 Optimization Status: 2 scenario cost: 107420.1007380659575574100017547607421875 optimization time for scenario: 17 = 0.028485774993896484375 scenario cost: 127236.4704057977651245892047882080078125 Optimization Status: 2 scenario cost: 127236.4704057977651245892047882080078125 optimization time for scenario: 18 = 0.0282390117645263671875 scenario cost: 110876.089311820105649530887603759765625 Optimization Status: 2 scenario cost: 110876.089311820105649530887603759765625 optimization time for scenario: 19 = 0.0264999866485595703125 Sending cuts of back to the stg 1 solver Objective Value 19080.1690328079057508148252964019775390625 memory usage: 112187720 received node: gen cut: Rental Cost 0 scenario cost: 98353.135979740109178237617015838623046875 Optimization Status: 2 scenario cost: 98353.135979740109178237617015838623046875 optimization time for scenario: 80 = 0.04005908966064453125 scenario cost: 115949.904176726166042499244213104248046875 Optimization Status: 2 scenario cost: 115949.904176726166042499244213104248046875 optimization time for scenario: 81 = 0.0654900074005126953125 scenario cost: 93353.309436851748614571988582611083984375 Optimization Status: 2 scenario cost: 93353.309436851748614571988582611083984375 optimization time for scenario: 82 = 0.0622310638427734375 scenario cost: 106186.108374145100242458283901214599609375 Optimization Status: 2 scenario cost: 106186.108374145100242458283901214599609375 optimization time for scenario: 83 = 0.0531561374664306640625 scenario cost: 96469.3192936736159026622772216796875 Optimization Status: 2 scenario cost: 96469.3192936736159026622772216796875 optimization time for scenario: 84 = 0.0696771144866943359375 scenario cost: 103713.006109291178290732204914093017578125 Optimization Status: 2 scenario cost: 103713.006109291178290732204914093017578125 optimization time for scenario: 85 = 0.067759037017822265625 scenario cost: 112907.288075882490375079214572906494140625 Optimization Status: 2 scenario cost: 112907.288075882490375079214572906494140625 optimization time for scenario: 86 = 0.0621230602264404296875 scenario cost: 96521.366210617168690077960491180419921875 Optimization Status: 2 scenario cost: 96521.366210617168690077960491180419921875 optimization time for scenario: 87 = 0.076838970184326171875 scenario cost: 95296.610358370278845541179180145263671875 Optimization Status: 2 scenario cost: 95296.610358370278845541179180145263671875 optimization time for scenario: 88 = 0.059864044189453125 scenario cost: 94620.291568603875930421054363250732421875 Optimization Status: 2 scenario cost: 94620.291568603875930421054363250732421875 optimization time for scenario: 89 = 0.071631908416748046875 scenario cost: 106563.59872554041794501245021820068359375 Optimization Status: 2 scenario cost: 106563.59872554041794501245021820068359375 optimization time for scenario: 90 = 0.05269718170166015625 scenario cost: 102145.18644338237936608493328094482421875 Optimization Status: 2 scenario cost: 102145.18644338237936608493328094482421875 optimization time for scenario: 91 = 0.0326900482177734375 scenario cost: 101550.16827197829843498766422271728515625 Optimization Status: 2 scenario cost: 101550.16827197829843498766422271728515625 optimization time for scenario: 92 = 0.0302970409393310546875 scenario cost: 117484.798665693568182177841663360595703125 Optimization Status: 2 scenario cost: 117484.798665693568182177841663360595703125 optimization time for scenario: 93 = 0.0310461521148681640625 scenario cost: 107729.637026344877085648477077484130859375 Optimization Status: 2 scenario cost: 107729.637026344877085648477077484130859375 optimization time for scenario: 94 = 0.028192996978759765625 scenario cost: 105255.351266035795561037957668304443359375 Optimization Status: 2 scenario cost: 105255.351266035795561037957668304443359375 optimization time for scenario: 95 = 0.0279400348663330078125 scenario cost: 97609.93568773320293985307216644287109375 Optimization Status: 2 scenario cost: 97609.93568773320293985307216644287109375 optimization time for scenario: 96 = 0.02851009368896484375 scenario cost: 104108.390503965914831496775150299072265625 Optimization Status: 2 scenario cost: 104108.390503965914831496775150299072265625 optimization time for scenario: 97 = 0.030622005462646484375 scenario cost: 108552.070460551898577250540256500244140625 Optimization Status: 2 scenario cost: 108552.070460551898577250540256500244140625 optimization time for scenario: 98 = 0.029615879058837890625 scenario cost: 109525.59534284446272067725658416748046875 Optimization Status: 2 scenario cost: 109525.59534284446272067725658416748046875 optimization time for scenario: 99 = 0.0178911685943603515625 Sending cuts of back to the stg 1 solver Objective Value 17282.389803314043092541396617889404296875 memory usage: 112189400 received node: gen cut: Rental Cost 0 scenario cost: 94357.101781348450458608567714691162109375 Optimization Status: 2 scenario cost: 94357.101781348450458608567714691162109375 optimization time for scenario: 20 = 0.0736789703369140625 scenario cost: 84755.78468310504104010760784149169921875 Optimization Status: 2 scenario cost: 84755.78468310504104010760784149169921875 optimization time for scenario: 21 = 0.0290219783782958984375 scenario cost: 81444.43585030778194777667522430419921875 Optimization Status: 2 scenario cost: 81444.43585030778194777667522430419921875 optimization time for scenario: 22 = 0.0284278392791748046875 scenario cost: 90273.880326478611095808446407318115234375 Optimization Status: 2 scenario cost: 90273.880326478611095808446407318115234375 optimization time for scenario: 23 = 0.028521060943603515625 scenario cost: 75619.51019071738119237124919891357421875 Optimization Status: 2 scenario cost: 75619.51019071738119237124919891357421875 optimization time for scenario: 24 = 0.02851104736328125 scenario cost: 93902.413990932167507708072662353515625 Optimization Status: 2 scenario cost: 93902.413990932167507708072662353515625 optimization time for scenario: 25 = 0.0303390026092529296875 scenario cost: 84028.031869750921032391488552093505859375 Optimization Status: 2 scenario cost: 84028.031869750921032391488552093505859375 optimization time for scenario: 26 = 0.029552936553955078125 scenario cost: 85433.1004499327973462641239166259765625 Optimization Status: 2 scenario cost: 85433.1004499327973462641239166259765625 optimization time for scenario: 27 = 0.03071498870849609375 scenario cost: 98623.699617356222006492316722869873046875 Optimization Status: 2 scenario cost: 98623.699617356222006492316722869873046875 optimization time for scenario: 28 = 0.02894496917724609375 scenario cost: 89240.68159169630962423980236053466796875 Optimization Status: 2 scenario cost: 89240.68159169630962423980236053466796875 optimization time for scenario: 29 = 0.02999019622802734375 scenario cost: 118235.8537414434249512851238250732421875 Optimization Status: 2 scenario cost: 118235.8537414434249512851238250732421875 optimization time for scenario: 30 = 0.028604984283447265625 scenario cost: 95258.04966758168302476406097412109375 Optimization Status: 2 scenario cost: 95258.04966758168302476406097412109375 optimization time for scenario: 31 = 0.0277349948883056640625 scenario cost: 107472.030677013724925927817821502685546875 Optimization Status: 2 scenario cost: 107472.030677013724925927817821502685546875 optimization time for scenario: 32 = 0.027970790863037109375 scenario cost: 102232.372264608435216359794139862060546875 Optimization Status: 2 scenario cost: 102232.372264608435216359794139862060546875 optimization time for scenario: 33 = 0.0420238971710205078125 scenario cost: 103253.628003215082571841776371002197265625 Optimization Status: 2 scenario cost: 103253.628003215082571841776371002197265625 optimization time for scenario: 34 = 0.0654850006103515625 scenario cost: 94953.73193271644413471221923828125 Optimization Status: 2 scenario cost: 94953.73193271644413471221923828125 optimization time for scenario: 35 = 0.053164958953857421875 scenario cost: 81598.20882917332346551120281219482421875 Optimization Status: 2 scenario cost: 81598.20882917332346551120281219482421875 optimization time for scenario: 36 = 0.0653741359710693359375 scenario cost: 90901.224025772724417038261890411376953125 Optimization Status: 2 scenario cost: 90901.224025772724417038261890411376953125 optimization time for scenario: 37 = 0.0534250736236572265625 scenario cost: 98320.6612348891794681549072265625 Optimization Status: 2 scenario cost: 98320.6612348891794681549072265625 optimization time for scenario: 38 = 0.0322859287261962890625 scenario cost: 88202.6585086230770684778690338134765625 Optimization Status: 2 scenario cost: 88202.6585086230770684778690338134765625 optimization time for scenario: 39 = 0.0321290493011474609375 Sending cuts of back to the stg 1 solver Objective Value 15484.163556736884856945835053920745849609375 memory usage: 112190920 received node: gen cut: Rental Cost 0 scenario cost: 96924.568692335873492993414402008056640625 Optimization Status: 2 scenario cost: 96924.568692335873492993414402008056640625 optimization time for scenario: 80 = 0.047183990478515625 scenario cost: 135849.3748176121735014021396636962890625 Optimization Status: 2 scenario cost: 135849.3748176121735014021396636962890625 optimization time for scenario: 81 = 0.082990169525146484375 scenario cost: 95092.79105874858214519917964935302734375 Optimization Status: 2 scenario cost: 95092.79105874858214519917964935302734375 optimization time for scenario: 82 = 0.075417995452880859375 scenario cost: 110387.004967260189005173742771148681640625 Optimization Status: 2 scenario cost: 110387.004967260189005173742771148681640625 optimization time for scenario: 83 = 0.0475099086761474609375 scenario cost: 93971.9678404753212817013263702392578125 Optimization Status: 2 scenario cost: 93971.9678404753212817013263702392578125 optimization time for scenario: 84 = 0.0340430736541748046875 scenario cost: 104082.09879294733400456607341766357421875 Optimization Status: 2 scenario cost: 104082.09879294733400456607341766357421875 optimization time for scenario: 85 = 0.0365619659423828125 scenario cost: 110733.953062095926725305616855621337890625 Optimization Status: 2 scenario cost: 110733.953062095926725305616855621337890625 optimization time for scenario: 86 = 0.0480711460113525390625 scenario cost: 96545.3491292998078279197216033935546875 Optimization Status: 2 scenario cost: 96545.3491292998078279197216033935546875 optimization time for scenario: 87 = 0.072659015655517578125 scenario cost: 93162.194143879270995967090129852294921875 Optimization Status: 2 scenario cost: 93162.194143879270995967090129852294921875 optimization time for scenario: 88 = 0.0761749744415283203125 scenario cost: 94153.913666261054459027945995330810546875 Optimization Status: 2 scenario cost: 94153.913666261054459027945995330810546875 optimization time for scenario: 89 = 0.06844806671142578125 scenario cost: 102695.066389228522893972694873809814453125 Optimization Status: 2 scenario cost: 102695.066389228522893972694873809814453125 optimization time for scenario: 90 = 0.035683155059814453125 scenario cost: 103377.8812027243548072874546051025390625 Optimization Status: 2 scenario cost: 103377.8812027243548072874546051025390625 optimization time for scenario: 91 = 0.0379631519317626953125 scenario cost: 110349.93834639902343042194843292236328125 Optimization Status: 2 scenario cost: 110349.93834639902343042194843292236328125 optimization time for scenario: 92 = 0.0360338687896728515625 scenario cost: 128597.02293405149248428642749786376953125 Optimization Status: 2 scenario cost: 128597.02293405149248428642749786376953125 optimization time for scenario: 93 = 0.0394060611724853515625 scenario cost: 104949.50455213032546453177928924560546875 Optimization Status: 2 scenario cost: 104949.50455213032546453177928924560546875 optimization time for scenario: 94 = 0.0372898578643798828125 scenario cost: 103328.40443956744275055825710296630859375 Optimization Status: 2 scenario cost: 103328.40443956744275055825710296630859375 optimization time for scenario: 95 = 0.0650150775909423828125 scenario cost: 98096.460363504666020162403583526611328125 Optimization Status: 2 scenario cost: 98096.460363504666020162403583526611328125 optimization time for scenario: 96 = 0.06103420257568359375 scenario cost: 112393.37853282692958600819110870361328125 Optimization Status: 2 scenario cost: 112393.37853282692958600819110870361328125 optimization time for scenario: 97 = 0.03542804718017578125 scenario cost: 117113.110540060544735752046108245849609375 Optimization Status: 2 scenario cost: 117113.110540060544735752046108245849609375 optimization time for scenario: 98 = 0.035533905029296875 scenario cost: 122046.272637650035903789103031158447265625 Optimization Status: 2 scenario cost: 122046.272637650035903789103031158447265625 optimization time for scenario: 99 = 0.037107944488525390625 Sending cuts of back to the stg 1 solver Objective Value 17782.0143392336249235086143016815185546875 memory usage: 112192440 received node: gen cut: Rental Cost 0 scenario cost: 83218.32357958707143552601337432861328125 Optimization Status: 2 scenario cost: 83218.32357958707143552601337432861328125 optimization time for scenario: 0 = 0.039207935333251953125 scenario cost: 90527.798830924191861413419246673583984375 Optimization Status: 2 scenario cost: 90527.798830924191861413419246673583984375 optimization time for scenario: 1 = 0.0351049900054931640625 scenario cost: 96617.51670650788582861423492431640625 Optimization Status: 2 scenario cost: 96617.51670650788582861423492431640625 optimization time for scenario: 2 = 0.0395328998565673828125 scenario cost: 96832.814426291719428263604640960693359375 Optimization Status: 2 scenario cost: 96832.814426291719428263604640960693359375 optimization time for scenario: 3 = 0.0358068943023681640625 scenario cost: 101603.84655950297019444406032562255859375 Optimization Status: 2 scenario cost: 101603.84655950297019444406032562255859375 optimization time for scenario: 4 = 0.0403540134429931640625 scenario cost: 107666.163812467872048728168010711669921875 Optimization Status: 2 scenario cost: 107666.163812467872048728168010711669921875 optimization time for scenario: 5 = 0.038424968719482421875 scenario cost: 92251.136023276616469956934452056884765625 Optimization Status: 2 scenario cost: 92251.136023276616469956934452056884765625 optimization time for scenario: 6 = 0.038806915283203125 scenario cost: 92288.036299190207500942051410675048828125 Optimization Status: 2 scenario cost: 92288.036299190207500942051410675048828125 optimization time for scenario: 7 = 0.039040088653564453125 scenario cost: 84542.489796511465101502835750579833984375 Optimization Status: 2 scenario cost: 84542.489796511465101502835750579833984375 optimization time for scenario: 8 = 0.0408618450164794921875 scenario cost: 104418.486122540183714590966701507568359375 Optimization Status: 2 scenario cost: 104418.486122540183714590966701507568359375 optimization time for scenario: 9 = 0.041265964508056640625 scenario cost: 92614.143709050069446675479412078857421875 Optimization Status: 2 scenario cost: 92614.143709050069446675479412078857421875 optimization time for scenario: 10 = 0.0435488224029541015625 scenario cost: 77827.28655797327519394457340240478515625 Optimization Status: 2 scenario cost: 77827.28655797327519394457340240478515625 optimization time for scenario: 11 = 0.041615962982177734375 scenario cost: 100085.659663236336200498044490814208984375 Optimization Status: 2 scenario cost: 100085.659663236336200498044490814208984375 optimization time for scenario: 12 = 0.0432720184326171875 scenario cost: 95971.438269864636822603642940521240234375 Optimization Status: 2 scenario cost: 95971.438269864636822603642940521240234375 optimization time for scenario: 13 = 0.0404808521270751953125 scenario cost: 93265.620147980007459409534931182861328125 Optimization Status: 2 scenario cost: 93265.620147980007459409534931182861328125 optimization time for scenario: 14 = 0.0424778461456298828125 scenario cost: 107840.065901549023692496120929718017578125 Optimization Status: 2 scenario cost: 107840.065901549023692496120929718017578125 optimization time for scenario: 15 = 0.0481650829315185546875 scenario cost: 93458.1725830447976477444171905517578125 Optimization Status: 2 scenario cost: 93458.1725830447976477444171905517578125 optimization time for scenario: 16 = 0.039227008819580078125 scenario cost: 90435.249347689314163289964199066162109375 Optimization Status: 2 scenario cost: 90435.249347689314163289964199066162109375 optimization time for scenario: 17 = 0.04660892486572265625 scenario cost: 109502.484039630086044780910015106201171875 Optimization Status: 2 scenario cost: 109502.484039630086044780910015106201171875 optimization time for scenario: 18 = 0.04294586181640625 scenario cost: 93049.89057402094476856291294097900390625 Optimization Status: 2 scenario cost: 93049.89057402094476856291294097900390625 optimization time for scenario: 19 = 0.0434949398040771484375 Sending cuts of back to the stg 1 solver Objective Value 15866.741724036224695737473666667938232421875 memory usage: 112193800 received node: gen cut: Rental Cost 0 scenario cost: 94368.030146137709380127489566802978515625 Optimization Status: 2 scenario cost: 94368.030146137709380127489566802978515625 optimization time for scenario: 60 = 0.0660970211029052734375 scenario cost: 79853.520435244412510655820369720458984375 Optimization Status: 2 scenario cost: 79853.520435244412510655820369720458984375 optimization time for scenario: 61 = 0.0615818500518798828125 scenario cost: 81702.97359885784680955111980438232421875 Optimization Status: 2 scenario cost: 81702.97359885784680955111980438232421875 optimization time for scenario: 62 = 0.0367701053619384765625 scenario cost: 82420.981743644180824048817157745361328125 Optimization Status: 2 scenario cost: 82420.981743644180824048817157745361328125 optimization time for scenario: 63 = 0.0393378734588623046875 scenario cost: 97042.613284565988578833639621734619140625 Optimization Status: 2 scenario cost: 97042.613284565988578833639621734619140625 optimization time for scenario: 64 = 0.067121982574462890625 scenario cost: 98118.981568313305615447461605072021484375 Optimization Status: 2 scenario cost: 98118.981568313305615447461605072021484375 optimization time for scenario: 65 = 0.077065944671630859375 scenario cost: 89498.636882819628226570785045623779296875 Optimization Status: 2 scenario cost: 89498.636882819628226570785045623779296875 optimization time for scenario: 66 = 0.05049610137939453125 scenario cost: 82887.139187563167070038616657257080078125 Optimization Status: 2 scenario cost: 82887.139187563167070038616657257080078125 optimization time for scenario: 67 = 0.0407679080963134765625 scenario cost: 82533.854054370298399589955806732177734375 Optimization Status: 2 scenario cost: 82533.854054370298399589955806732177734375 optimization time for scenario: 68 = 0.07057094573974609375 scenario cost: 86535.63470178921124897897243499755859375 Optimization Status: 2 scenario cost: 86535.63470178921124897897243499755859375 optimization time for scenario: 69 = 0.078672885894775390625 scenario cost: 80169.6988896347465924918651580810546875 Optimization Status: 2 scenario cost: 80169.6988896347465924918651580810546875 optimization time for scenario: 70 = 0.0717980861663818359375 scenario cost: 101892.129077710895217023789882659912109375 Optimization Status: 2 scenario cost: 101892.129077710895217023789882659912109375 optimization time for scenario: 71 = 0.0885789394378662109375 scenario cost: 96047.058166690767393447458744049072265625 Optimization Status: 2 scenario cost: 96047.058166690767393447458744049072265625 optimization time for scenario: 72 = 0.070587158203125 scenario cost: 97601.214046252411208115518093109130859375 Optimization Status: 2 scenario cost: 97601.214046252411208115518093109130859375 optimization time for scenario: 73 = 0.0495278835296630859375 scenario cost: 83326.03979861838161014020442962646484375 Optimization Status: 2 scenario cost: 83326.03979861838161014020442962646484375 optimization time for scenario: 74 = 0.0434830188751220703125 scenario cost: 100389.35947697490337304770946502685546875 Optimization Status: 2 scenario cost: 100389.35947697490337304770946502685546875 optimization time for scenario: 75 = 0.04129791259765625 scenario cost: 89909.66906187016866169869899749755859375 Optimization Status: 2 scenario cost: 89909.66906187016866169869899749755859375 optimization time for scenario: 76 = 0.0417850017547607421875 scenario cost: 90990.511770111697842366993427276611328125 Optimization Status: 2 scenario cost: 90990.511770111697842366993427276611328125 optimization time for scenario: 77 = 0.042873859405517578125 scenario cost: 87055.376647300741751678287982940673828125 Optimization Status: 2 scenario cost: 87055.376647300741751678287982940673828125 optimization time for scenario: 78 = 0.0384619235992431640625 scenario cost: 84136.781808572399313561618328094482421875 Optimization Status: 2 scenario cost: 84136.781808572399313561618328094482421875 optimization time for scenario: 79 = 0.0395450592041015625 Sending cuts of back to the stg 1 solver Objective Value 14887.275486885211648768745362758636474609375 memory usage: 112195480 received node: gen cut: Rental Cost 0 scenario cost: 86775.7399867083295248448848724365234375 Optimization Status: 2 scenario cost: 86775.7399867083295248448848724365234375 optimization time for scenario: 0 = 0.0609281063079833984375 scenario cost: 94308.9024804874206893146038055419921875 Optimization Status: 2 scenario cost: 94308.9024804874206893146038055419921875 optimization time for scenario: 1 = 0.074101924896240234375 scenario cost: 100216.5252106258994899690151214599609375 Optimization Status: 2 scenario cost: 100216.5252106258994899690151214599609375 optimization time for scenario: 2 = 0.0818271636962890625 scenario cost: 100867.354767589786206372082233428955078125 Optimization Status: 2 scenario cost: 100867.354767589786206372082233428955078125 optimization time for scenario: 3 = 0.069921016693115234375 scenario cost: 104583.47960202748072333633899688720703125 Optimization Status: 2 scenario cost: 104583.47960202748072333633899688720703125 optimization time for scenario: 4 = 0.0741798877716064453125 scenario cost: 111113.381603665999136865139007568359375 Optimization Status: 2 scenario cost: 111113.381603665999136865139007568359375 optimization time for scenario: 5 = 0.039186954498291015625 scenario cost: 93609.935239670914597809314727783203125 Optimization Status: 2 scenario cost: 93609.935239670914597809314727783203125 optimization time for scenario: 6 = 0.0381929874420166015625 scenario cost: 94436.182892722077667713165283203125 Optimization Status: 2 scenario cost: 94436.182892722077667713165283203125 optimization time for scenario: 7 = 0.0410251617431640625 scenario cost: 88550.39422718458808958530426025390625 Optimization Status: 2 scenario cost: 88550.39422718458808958530426025390625 optimization time for scenario: 8 = 0.0379831790924072265625 scenario cost: 108272.63873595907352864742279052734375 Optimization Status: 2 scenario cost: 108272.63873595907352864742279052734375 optimization time for scenario: 9 = 0.039803981781005859375 scenario cost: 96353.57267585649969987571239471435546875 Optimization Status: 2 scenario cost: 96353.57267585649969987571239471435546875 optimization time for scenario: 10 = 0.0393059253692626953125 scenario cost: 79684.2636337073636241257190704345703125 Optimization Status: 2 scenario cost: 79684.2636337073636241257190704345703125 optimization time for scenario: 11 = 0.0385758876800537109375 scenario cost: 109835.120536143906065262854099273681640625 Optimization Status: 2 scenario cost: 109835.120536143906065262854099273681640625 optimization time for scenario: 12 = 0.0385620594024658203125 scenario cost: 105509.416334384164656512439250946044921875 Optimization Status: 2 scenario cost: 105509.416334384164656512439250946044921875 optimization time for scenario: 13 = 0.0681970119476318359375 scenario cost: 94650.41572077051387168467044830322265625 Optimization Status: 2 scenario cost: 94650.41572077051387168467044830322265625 optimization time for scenario: 14 = 0.0849540233612060546875 scenario cost: 111762.799166791766765527427196502685546875 Optimization Status: 2 scenario cost: 111762.799166791766765527427196502685546875 optimization time for scenario: 15 = 0.0799539089202880859375 scenario cost: 102314.386142033268697559833526611328125 Optimization Status: 2 scenario cost: 102314.386142033268697559833526611328125 optimization time for scenario: 16 = 0.0757501125335693359375 scenario cost: 93375.02144302221131511032581329345703125 Optimization Status: 2 scenario cost: 93375.02144302221131511032581329345703125 optimization time for scenario: 17 = 0.055782794952392578125 scenario cost: 113179.892619919948629103600978851318359375 Optimization Status: 2 scenario cost: 113179.892619919948629103600978851318359375 optimization time for scenario: 18 = 0.0364749431610107421875 scenario cost: 96796.04429697504383511841297149658203125 Optimization Status: 2 scenario cost: 96796.04429697504383511841297149658203125 optimization time for scenario: 19 = 0.0365970134735107421875 Sending cuts of back to the stg 1 solver Objective Value 16551.56268778647427097894251346588134765625 memory usage: 112196840 received node: gen cut: Rental Cost 0 scenario cost: 90495.3608233415870927274227142333984375 Optimization Status: 2 scenario cost: 90495.3608233415870927274227142333984375 optimization time for scenario: 40 = 0.0893981456756591796875 scenario cost: 107158.49134975668857805430889129638671875 Optimization Status: 2 scenario cost: 107158.49134975668857805430889129638671875 optimization time for scenario: 41 = 0.0826370716094970703125 scenario cost: 93605.04894933433388359844684600830078125 Optimization Status: 2 scenario cost: 93605.04894933433388359844684600830078125 optimization time for scenario: 42 = 0.087134838104248046875 scenario cost: 86810.260811924657900817692279815673828125 Optimization Status: 2 scenario cost: 86810.260811924657900817692279815673828125 optimization time for scenario: 43 = 0.0862948894500732421875 scenario cost: 113112.196004784156684763729572296142578125 Optimization Status: 2 scenario cost: 113112.196004784156684763729572296142578125 optimization time for scenario: 44 = 0.04197978973388671875 scenario cost: 90930.7592316464870236814022064208984375 Optimization Status: 2 scenario cost: 90930.7592316464870236814022064208984375 optimization time for scenario: 45 = 0.065888881683349609375 scenario cost: 93974.113006686748121865093708038330078125 Optimization Status: 2 scenario cost: 93974.113006686748121865093708038330078125 optimization time for scenario: 46 = 0.0810320377349853515625 scenario cost: 107867.285958029431640170514583587646484375 Optimization Status: 2 scenario cost: 107867.285958029431640170514583587646484375 optimization time for scenario: 47 = 0.0830700397491455078125 scenario cost: 99946.733639083147863857448101043701171875 Optimization Status: 2 scenario cost: 99946.733639083147863857448101043701171875 optimization time for scenario: 48 = 0.085636138916015625 scenario cost: 94725.149725253504584543406963348388671875 Optimization Status: 2 scenario cost: 94725.149725253504584543406963348388671875 optimization time for scenario: 49 = 0.0886280536651611328125 scenario cost: 81245.168527938556508161127567291259765625 Optimization Status: 2 scenario cost: 81245.168527938556508161127567291259765625 optimization time for scenario: 50 = 0.08870410919189453125 scenario cost: 126532.35578468904714100062847137451171875 Optimization Status: 2 scenario cost: 126532.35578468904714100062847137451171875 optimization time for scenario: 51 = 0.0858500003814697265625 scenario cost: 87234.4028813992044888436794281005859375 Optimization Status: 2 scenario cost: 87234.4028813992044888436794281005859375 optimization time for scenario: 52 = 0.0557849407196044921875 scenario cost: 82939.591259579276083968579769134521484375 Optimization Status: 2 scenario cost: 82939.591259579276083968579769134521484375 optimization time for scenario: 53 = 0.043264865875244140625 scenario cost: 81098.073424083107965998351573944091796875 Optimization Status: 2 scenario cost: 81098.073424083107965998351573944091796875 optimization time for scenario: 54 = 0.0403630733489990234375 scenario cost: 88527.753258192140492610633373260498046875 Optimization Status: 2 scenario cost: 88527.753258192140492610633373260498046875 optimization time for scenario: 55 = 0.03857898712158203125 scenario cost: 91823.9371821511886082589626312255859375 Optimization Status: 2 scenario cost: 91823.9371821511886082589626312255859375 optimization time for scenario: 56 = 0.03746795654296875 scenario cost: 96295.02999716965132392942905426025390625 Optimization Status: 2 scenario cost: 96295.02999716965132392942905426025390625 optimization time for scenario: 57 = 0.0331900119781494140625 scenario cost: 95900.273997922035050578415393829345703125 Optimization Status: 2 scenario cost: 95900.273997922035050578415393829345703125 optimization time for scenario: 58 = 0.0329020023345947265625 scenario cost: 104049.014163942425511777400970458984375 Optimization Status: 2 scenario cost: 104049.014163942425511777400970458984375 optimization time for scenario: 59 = 0.0323259830474853515625 Sending cuts of back to the stg 1 solver Objective Value 15952.1945241075591184198856353759765625 memory usage: 112198520 received node: gen cut: Rental Cost 0 scenario cost: 88018.47583101459895260632038116455078125 Optimization Status: 2 scenario cost: 88018.47583101459895260632038116455078125 optimization time for scenario: 40 = 0.08716106414794921875 scenario cost: 104178.960795469582080841064453125 Optimization Status: 2 scenario cost: 104178.960795469582080841064453125 optimization time for scenario: 41 = 0.101297855377197265625 scenario cost: 91985.72991908926633186638355255126953125 Optimization Status: 2 scenario cost: 91985.72991908926633186638355255126953125 optimization time for scenario: 42 = 0.1202781200408935546875 scenario cost: 85438.898163906924310140311717987060546875 Optimization Status: 2 scenario cost: 85438.898163906924310140311717987060546875 optimization time for scenario: 43 = 0.1266040802001953125 scenario cost: 109038.332190011788043193519115447998046875 Optimization Status: 2 scenario cost: 109038.332190011788043193519115447998046875 optimization time for scenario: 44 = 0.1015379428863525390625 scenario cost: 89868.3730953308404423296451568603515625 Optimization Status: 2 scenario cost: 89868.3730953308404423296451568603515625 optimization time for scenario: 45 = 0.1051790714263916015625 scenario cost: 92866.20635881272028200328350067138671875 Optimization Status: 2 scenario cost: 92866.20635881272028200328350067138671875 optimization time for scenario: 46 = 0.0872690677642822265625 scenario cost: 102984.792665375745855271816253662109375 Optimization Status: 2 scenario cost: 102984.792665375745855271816253662109375 optimization time for scenario: 47 = 0.0742690563201904296875 scenario cost: 98429.287141891851206310093402862548828125 Optimization Status: 2 scenario cost: 98429.287141891851206310093402862548828125 optimization time for scenario: 48 = 0.0597779750823974609375 scenario cost: 92495.454679842732730321586132049560546875 Optimization Status: 2 scenario cost: 92495.454679842732730321586132049560546875 optimization time for scenario: 49 = 0.0447561740875244140625 scenario cost: 79326.097962965097394771873950958251953125 Optimization Status: 2 scenario cost: 79326.097962965097394771873950958251953125 optimization time for scenario: 50 = 0.0454399585723876953125 scenario cost: 111852.883491585802403278648853302001953125 Optimization Status: 2 scenario cost: 111852.883491585802403278648853302001953125 optimization time for scenario: 51 = 0.044231891632080078125 scenario cost: 85304.613704321163822896778583526611328125 Optimization Status: 2 scenario cost: 85304.613704321163822896778583526611328125 optimization time for scenario: 52 = 0.0432550907135009765625 scenario cost: 81455.0890535386861301958560943603515625 Optimization Status: 2 scenario cost: 81455.0890535386861301958560943603515625 optimization time for scenario: 53 = 0.04567813873291015625 scenario cost: 81330.669786556027247570455074310302734375 Optimization Status: 2 scenario cost: 81330.669786556027247570455074310302734375 optimization time for scenario: 54 = 0.045597076416015625 scenario cost: 83850.241009623030549846589565277099609375 Optimization Status: 2 scenario cost: 83850.241009623030549846589565277099609375 optimization time for scenario: 55 = 0.04841899871826171875 scenario cost: 91852.689140198999666608870029449462890625 Optimization Status: 2 scenario cost: 91852.689140198999666608870029449462890625 optimization time for scenario: 56 = 0.0430839061737060546875 scenario cost: 94002.380936346758971922099590301513671875 Optimization Status: 2 scenario cost: 94002.380936346758971922099590301513671875 optimization time for scenario: 57 = 0.0451509952545166015625 scenario cost: 94448.58723480164189822971820831298828125 Optimization Status: 2 scenario cost: 94448.58723480164189822971820831298828125 optimization time for scenario: 58 = 0.041985988616943359375 scenario cost: 102398.6809438815689645707607269287109375 Optimization Status: 2 scenario cost: 102398.6809438815689645707607269287109375 optimization time for scenario: 59 = 0.036201000213623046875 Sending cuts of back to the stg 1 solver Objective Value 15509.324996656569055630825459957122802734375 memory usage: 112200040 received node: gen cut: Rental Cost 0 scenario cost: 91979.0473454826860688626766204833984375 Optimization Status: 2 scenario cost: 91979.0473454826860688626766204833984375 optimization time for scenario: 40 = 0.1071770191192626953125 scenario cost: 108130.78779682013555429875850677490234375 Optimization Status: 2 scenario cost: 108130.78779682013555429875850677490234375 optimization time for scenario: 41 = 0.0918481349945068359375 scenario cost: 95900.7981693341280333697795867919921875 Optimization Status: 2 scenario cost: 95900.7981693341280333697795867919921875 optimization time for scenario: 42 = 0.0529329776763916015625 scenario cost: 89486.9343413277529180049896240234375 Optimization Status: 2 scenario cost: 89486.9343413277529180049896240234375 optimization time for scenario: 43 = 0.0467998981475830078125 scenario cost: 112923.369944864316494204103946685791015625 Optimization Status: 2 scenario cost: 112923.369944864316494204103946685791015625 optimization time for scenario: 44 = 0.0516109466552734375 scenario cost: 93726.135946002832497470080852508544921875 Optimization Status: 2 scenario cost: 93726.135946002832497470080852508544921875 optimization time for scenario: 45 = 0.0480639934539794921875 scenario cost: 96710.847750656292191706597805023193359375 Optimization Status: 2 scenario cost: 96710.847750656292191706597805023193359375 optimization time for scenario: 46 = 0.04827213287353515625 scenario cost: 106893.919042020526831038296222686767578125 Optimization Status: 2 scenario cost: 106893.919042020526831038296222686767578125 optimization time for scenario: 47 = 0.04985713958740234375 scenario cost: 102478.566770327626727521419525146484375 Optimization Status: 2 scenario cost: 102478.566770327626727521419525146484375 optimization time for scenario: 48 = 0.045506954193115234375 scenario cost: 96325.99379594600759446620941162109375 Optimization Status: 2 scenario cost: 96325.99379594600759446620941162109375 optimization time for scenario: 49 = 0.085236072540283203125 scenario cost: 82977.096617685150704346597194671630859375 Optimization Status: 2 scenario cost: 82977.096617685150704346597194671630859375 optimization time for scenario: 50 = 0.092486858367919921875 scenario cost: 116243.065971416421234607696533203125 Optimization Status: 2 scenario cost: 116243.065971416421234607696533203125 optimization time for scenario: 51 = 0.0956211090087890625 scenario cost: 89249.205246055251336656510829925537109375 Optimization Status: 2 scenario cost: 89249.205246055251336656510829925537109375 optimization time for scenario: 52 = 0.1148040294647216796875 scenario cost: 85466.753556067604222334921360015869140625 Optimization Status: 2 scenario cost: 85466.753556067604222334921360015869140625 optimization time for scenario: 53 = 0.09636402130126953125 scenario cost: 85134.14514957624487578868865966796875 Optimization Status: 2 scenario cost: 85134.14514957624487578868865966796875 optimization time for scenario: 54 = 0.1097431182861328125 scenario cost: 88138.40648175045498646795749664306640625 Optimization Status: 2 scenario cost: 88138.40648175045498646795749664306640625 optimization time for scenario: 55 = 0.0980489253997802734375 scenario cost: 95503.662312967397156171500682830810546875 Optimization Status: 2 scenario cost: 95503.662312967397156171500682830810546875 optimization time for scenario: 56 = 0.11420917510986328125 scenario cost: 97945.60282343401922844350337982177734375 Optimization Status: 2 scenario cost: 97945.60282343401922844350337982177734375 optimization time for scenario: 57 = 0.0966918468475341796875 scenario cost: 98464.75531244298326782882213592529296875 Optimization Status: 2 scenario cost: 98464.75531244298326782882213592529296875 optimization time for scenario: 58 = 0.038651943206787109375 scenario cost: 106388.44795983182848431169986724853515625 Optimization Status: 2 scenario cost: 106388.44795983182848431169986724853515625 optimization time for scenario: 59 = 0.029181957244873046875 Sending cuts of back to the stg 1 solver Objective Value 16167.164850532004493288695812225341796875 memory usage: 112201400 received node: gen cut: Rental Cost 0 scenario cost: 109155.996560071725980378687381744384765625 Optimization Status: 2 scenario cost: 109155.996560071725980378687381744384765625 optimization time for scenario: 100 = 0.0915110111236572265625 scenario cost: 113883.62082252535037696361541748046875 Optimization Status: 2 scenario cost: 113883.62082252535037696361541748046875 optimization time for scenario: 101 = 0.1004688739776611328125 scenario cost: 92956.232833556758123449981212615966796875 Optimization Status: 2 scenario cost: 92956.232833556758123449981212615966796875 optimization time for scenario: 102 = 0.1010720729827880859375 scenario cost: 98178.021971194728394038975238800048828125 Optimization Status: 2 scenario cost: 98178.021971194728394038975238800048828125 optimization time for scenario: 103 = 0.09284305572509765625 scenario cost: 92164.986380529400776140391826629638671875 Optimization Status: 2 scenario cost: 92164.986380529400776140391826629638671875 optimization time for scenario: 104 = 0.0987360477447509765625 scenario cost: 109567.4350856295204721391201019287109375 Optimization Status: 2 scenario cost: 109567.4350856295204721391201019287109375 optimization time for scenario: 105 = 0.086184024810791015625 scenario cost: 87260.272221623847144655883312225341796875 Optimization Status: 2 scenario cost: 87260.272221623847144655883312225341796875 optimization time for scenario: 106 = 0.07806682586669921875 scenario cost: 101908.647744773028534837067127227783203125 Optimization Status: 2 scenario cost: 101908.647744773028534837067127227783203125 optimization time for scenario: 107 = 0.0450160503387451171875 scenario cost: 115868.276652229091268964111804962158203125 Optimization Status: 2 scenario cost: 115868.276652229091268964111804962158203125 optimization time for scenario: 108 = 0.0442969799041748046875 scenario cost: 99762.345966860812040977180004119873046875 Optimization Status: 2 scenario cost: 99762.345966860812040977180004119873046875 optimization time for scenario: 109 = 0.0521221160888671875 scenario cost: 99192.01127885575988329946994781494140625 Optimization Status: 2 scenario cost: 99192.01127885575988329946994781494140625 optimization time for scenario: 110 = 0.10577106475830078125 scenario cost: 99848.89077275010640732944011688232421875 Optimization Status: 2 scenario cost: 99848.89077275010640732944011688232421875 optimization time for scenario: 111 = 0.1174468994140625 scenario cost: 94664.536935661846655420958995819091796875 Optimization Status: 2 scenario cost: 94664.536935661846655420958995819091796875 optimization time for scenario: 112 = 0.086863994598388671875 scenario cost: 105977.40041806767112575471401214599609375 Optimization Status: 2 scenario cost: 105977.40041806767112575471401214599609375 optimization time for scenario: 113 = 0.103066921234130859375 scenario cost: 89205.833790229648002423346042633056640625 Optimization Status: 2 scenario cost: 89205.833790229648002423346042633056640625 optimization time for scenario: 114 = 0.09358692169189453125 scenario cost: 95588.7739676790661178529262542724609375 Optimization Status: 2 scenario cost: 95588.7739676790661178529262542724609375 optimization time for scenario: 115 = 0.0684249401092529296875 scenario cost: 99669.956441180969704873859882354736328125 Optimization Status: 2 scenario cost: 99669.956441180969704873859882354736328125 optimization time for scenario: 116 = 0.0418589115142822265625 scenario cost: 98174.096051065498613752424716949462890625 Optimization Status: 2 scenario cost: 98174.096051065498613752424716949462890625 optimization time for scenario: 117 = 0.0254118442535400390625 scenario cost: 96998.22499765898101031780242919921875 Optimization Status: 2 scenario cost: 96998.22499765898101031780242919921875 optimization time for scenario: 118 = 0.023993015289306640625 scenario cost: 94361.253150166900013573467731475830078125 Optimization Status: 2 scenario cost: 94361.253150166900013573467731475830078125 optimization time for scenario: 119 = 0.02320194244384765625 Sending cuts of back to the stg 1 solver Objective Value 16619.8236374587868340313434600830078125 memory usage: 112203080 received node: gen cut: Rental Cost 0 scenario cost: 81339.9598211292759515345096588134765625 Optimization Status: 2 scenario cost: 81339.9598211292759515345096588134765625 optimization time for scenario: 0 = 0.044229030609130859375 scenario cost: 88086.016856430054758675396442413330078125 Optimization Status: 2 scenario cost: 88086.016856430054758675396442413330078125 optimization time for scenario: 1 = 0.0781009197235107421875 scenario cost: 92653.815334381608408875763416290283203125 Optimization Status: 2 scenario cost: 92653.815334381608408875763416290283203125 optimization time for scenario: 2 = 0.0987560749053955078125 scenario cost: 93098.684073479424114339053630828857421875 Optimization Status: 2 scenario cost: 93098.684073479424114339053630828857421875 optimization time for scenario: 3 = 0.0919659137725830078125 scenario cost: 99287.828981044542160816490650177001953125 Optimization Status: 2 scenario cost: 99287.828981044542160816490650177001953125 optimization time for scenario: 4 = 0.0817749500274658203125 scenario cost: 102964.76651037720148451626300811767578125 Optimization Status: 2 scenario cost: 102964.76651037720148451626300811767578125 optimization time for scenario: 5 = 0.0825850963592529296875 scenario cost: 88947.176704477067687548696994781494140625 Optimization Status: 2 scenario cost: 88947.176704477067687548696994781494140625 optimization time for scenario: 6 = 0.1024730205535888671875 scenario cost: 89499.522494447985081933438777923583984375 Optimization Status: 2 scenario cost: 89499.522494447985081933438777923583984375 optimization time for scenario: 7 = 0.0952930450439453125 scenario cost: 81783.771533673148951493203639984130859375 Optimization Status: 2 scenario cost: 81783.771533673148951493203639984130859375 optimization time for scenario: 8 = 0.0841200351715087890625 scenario cost: 99742.24599956654128618538379669189453125 Optimization Status: 2 scenario cost: 99742.24599956654128618538379669189453125 optimization time for scenario: 9 = 0.09241008758544921875 scenario cost: 90175.44687492193770594894886016845703125 Optimization Status: 2 scenario cost: 90175.44687492193770594894886016845703125 optimization time for scenario: 10 = 0.1013600826263427734375 scenario cost: 75601.182633169766631908714771270751953125 Optimization Status: 2 scenario cost: 75601.182633169766631908714771270751953125 optimization time for scenario: 11 = 0.0920569896697998046875 scenario cost: 94988.363587623360217548906803131103515625 Optimization Status: 2 scenario cost: 94988.363587623360217548906803131103515625 optimization time for scenario: 12 = 0.0594770908355712890625 scenario cost: 91324.880029307329095900058746337890625 Optimization Status: 2 scenario cost: 91324.880029307329095900058746337890625 optimization time for scenario: 13 = 0.0497019290924072265625 scenario cost: 89665.109931783386855386197566986083984375 Optimization Status: 2 scenario cost: 89665.109931783386855386197566986083984375 optimization time for scenario: 14 = 0.0520780086517333984375 scenario cost: 104126.584512009270838461816310882568359375 Optimization Status: 2 scenario cost: 104126.584512009270838461816310882568359375 optimization time for scenario: 15 = 0.04671001434326171875 scenario cost: 88518.19398037585779093205928802490234375 Optimization Status: 2 scenario cost: 88518.19398037585779093205928802490234375 optimization time for scenario: 16 = 0.0471990108489990234375 scenario cost: 85163.86861749042873270809650421142578125 Optimization Status: 2 scenario cost: 85163.86861749042873270809650421142578125 optimization time for scenario: 17 = 0.0492999553680419921875 scenario cost: 105428.9678498231805860996246337890625 Optimization Status: 2 scenario cost: 105428.9678498231805860996246337890625 optimization time for scenario: 18 = 0.0465390682220458984375 scenario cost: 90712.5976047148578800261020660400390625 Optimization Status: 2 scenario cost: 90712.5976047148578800261020660400390625 optimization time for scenario: 19 = 0.0408477783203125 Sending cuts of back to the stg 1 solver Objective Value 15275.847095785751662333495914936065673828125 memory usage: 112204440 received node: gen cut: Rental Cost 0 scenario cost: 103421.515235006096190772950649261474609375 Optimization Status: 2 scenario cost: 103421.515235006096190772950649261474609375 optimization time for scenario: 100 = 0.0455610752105712890625 scenario cost: 108118.611119649271131493151187896728515625 Optimization Status: 2 scenario cost: 108118.611119649271131493151187896728515625 optimization time for scenario: 101 = 0.0828969478607177734375 scenario cost: 87638.749938726090476848185062408447265625 Optimization Status: 2 scenario cost: 87638.749938726090476848185062408447265625 optimization time for scenario: 102 = 0.090813159942626953125 scenario cost: 93524.958225071648485027253627777099609375 Optimization Status: 2 scenario cost: 93524.958225071648485027253627777099609375 optimization time for scenario: 103 = 0.116158008575439453125 scenario cost: 90165.024095607528579421341419219970703125 Optimization Status: 2 scenario cost: 90165.024095607528579421341419219970703125 optimization time for scenario: 104 = 0.1310160160064697265625 scenario cost: 103705.396890292686293832957744598388671875 Optimization Status: 2 scenario cost: 103705.396890292686293832957744598388671875 optimization time for scenario: 105 = 0.11223697662353515625 scenario cost: 82993.023980565354577265679836273193359375 Optimization Status: 2 scenario cost: 82993.023980565354577265679836273193359375 optimization time for scenario: 106 = 0.0836751461029052734375 scenario cost: 97324.938628864343627355992794036865234375 Optimization Status: 2 scenario cost: 97324.938628864343627355992794036865234375 optimization time for scenario: 107 = 0.092998981475830078125 scenario cost: 110630.28722549372469075024127960205078125 Optimization Status: 2 scenario cost: 110630.28722549372469075024127960205078125 optimization time for scenario: 108 = 0.1032130718231201171875 scenario cost: 96302.999402703644591383635997772216796875 Optimization Status: 2 scenario cost: 96302.999402703644591383635997772216796875 optimization time for scenario: 109 = 0.07015895843505859375 scenario cost: 93926.45900743358652107417583465576171875 Optimization Status: 2 scenario cost: 93926.45900743358652107417583465576171875 optimization time for scenario: 110 = 0.0512359142303466796875 scenario cost: 95974.78150050542899407446384429931640625 Optimization Status: 2 scenario cost: 95974.78150050542899407446384429931640625 optimization time for scenario: 111 = 0.0515100955963134765625 scenario cost: 88903.48122838194831274449825286865234375 Optimization Status: 2 scenario cost: 88903.48122838194831274449825286865234375 optimization time for scenario: 112 = 0.0508430004119873046875 scenario cost: 102375.361903328986954875290393829345703125 Optimization Status: 2 scenario cost: 102375.361903328986954875290393829345703125 optimization time for scenario: 113 = 0.047521114349365234375 scenario cost: 86868.899743130328715778887271881103515625 Optimization Status: 2 scenario cost: 86868.899743130328715778887271881103515625 optimization time for scenario: 114 = 0.045176982879638671875 scenario cost: 90095.009739302113302983343601226806640625 Optimization Status: 2 scenario cost: 90095.009739302113302983343601226806640625 optimization time for scenario: 115 = 0.044895172119140625 scenario cost: 96491.659749264174024574458599090576171875 Optimization Status: 2 scenario cost: 96491.659749264174024574458599090576171875 optimization time for scenario: 116 = 0.050056934356689453125 scenario cost: 92479.174668947802274487912654876708984375 Optimization Status: 2 scenario cost: 92479.174668947802274487912654876708984375 optimization time for scenario: 117 = 0.0446479320526123046875 scenario cost: 91252.62184747608262114226818084716796875 Optimization Status: 2 scenario cost: 91252.62184747608262114226818084716796875 optimization time for scenario: 118 = 0.04518795013427734375 scenario cost: 88653.585706936006317846477031707763671875 Optimization Status: 2 scenario cost: 88653.585706936006317846477031707763671875 optimization time for scenario: 119 = 0.045052051544189453125 Sending cuts of back to the stg 1 solver Objective Value 15840.3244704210592317394912242889404296875 memory usage: 112206120 received node: gen cut: Rental Cost 0 scenario cost: 101930.178732420419692061841487884521484375 Optimization Status: 2 scenario cost: 101930.178732420419692061841487884521484375 optimization time for scenario: 100 = 0.0521030426025390625 scenario cost: 106786.44021549078752286732196807861328125 Optimization Status: 2 scenario cost: 106786.44021549078752286732196807861328125 optimization time for scenario: 101 = 0.0466139316558837890625 scenario cost: 86970.5031205926206894218921661376953125 Optimization Status: 2 scenario cost: 86970.5031205926206894218921661376953125 optimization time for scenario: 102 = 0.04759693145751953125 scenario cost: 93651.3206457539345137774944305419921875 Optimization Status: 2 scenario cost: 93651.3206457539345137774944305419921875 optimization time for scenario: 103 = 0.1642920970916748046875 scenario cost: 90679.22287918705842457711696624755859375 Optimization Status: 2 scenario cost: 90679.22287918705842457711696624755859375 optimization time for scenario: 104 = 0.144320011138916015625 scenario cost: 101233.4060342371813021600246429443359375 Optimization Status: 2 scenario cost: 101233.4060342371813021600246429443359375 optimization time for scenario: 105 = 0.103794097900390625 scenario cost: 83122.0677621027571149170398712158203125 Optimization Status: 2 scenario cost: 83122.0677621027571149170398712158203125 optimization time for scenario: 106 = 0.0864579677581787109375 scenario cost: 97535.505878568495973013341426849365234375 Optimization Status: 2 scenario cost: 97535.505878568495973013341426849365234375 optimization time for scenario: 107 = 0.1044428348541259765625 scenario cost: 110711.88530520661151967942714691162109375 Optimization Status: 2 scenario cost: 110711.88530520661151967942714691162109375 optimization time for scenario: 108 = 0.0814721584320068359375 scenario cost: 97224.07378283617435954511165618896484375 Optimization Status: 2 scenario cost: 97224.07378283617435954511165618896484375 optimization time for scenario: 109 = 0.0963141918182373046875 scenario cost: 93990.963815431707189418375492095947265625 Optimization Status: 2 scenario cost: 93990.963815431707189418375492095947265625 optimization time for scenario: 110 = 0.0956871509552001953125 scenario cost: 96402.709498730211635120213031768798828125 Optimization Status: 2 scenario cost: 96402.709498730211635120213031768798828125 optimization time for scenario: 111 = 0.0599079132080078125 scenario cost: 88980.514893509025569073855876922607421875 Optimization Status: 2 scenario cost: 88980.514893509025569073855876922607421875 optimization time for scenario: 112 = 0.0509569644927978515625 scenario cost: 102419.720606982125900685787200927734375 Optimization Status: 2 scenario cost: 102419.720606982125900685787200927734375 optimization time for scenario: 113 = 0.0482380390167236328125 scenario cost: 86704.30555912802810780704021453857421875 Optimization Status: 2 scenario cost: 86704.30555912802810780704021453857421875 optimization time for scenario: 114 = 0.0469100475311279296875 scenario cost: 90168.59758672266616486012935638427734375 Optimization Status: 2 scenario cost: 90168.59758672266616486012935638427734375 optimization time for scenario: 115 = 0.0471498966217041015625 scenario cost: 96634.4535785624175332486629486083984375 Optimization Status: 2 scenario cost: 96634.4535785624175332486629486083984375 optimization time for scenario: 116 = 0.04712390899658203125 scenario cost: 91835.152586675758357159793376922607421875 Optimization Status: 2 scenario cost: 91835.152586675758357159793376922607421875 optimization time for scenario: 117 = 0.049377918243408203125 scenario cost: 90655.80160246972809545695781707763671875 Optimization Status: 2 scenario cost: 90655.80160246972809545695781707763671875 optimization time for scenario: 118 = 0.047133922576904296875 scenario cost: 88587.318667336206999607384204864501953125 Optimization Status: 2 scenario cost: 88587.318667336206999607384204864501953125 optimization time for scenario: 119 = 0.04786205291748046875 Sending cuts of back to the stg 1 solver Objective Value 15801.80464879477585782296955585479736328125 memory usage: 112207640 received node: gen cut: Rental Cost 0 scenario cost: 98894.4633013322600163519382476806640625 Optimization Status: 2 scenario cost: 98894.4633013322600163519382476806640625 optimization time for scenario: 40 = 0.047849178314208984375 scenario cost: 116235.398564164483104832470417022705078125 Optimization Status: 2 scenario cost: 116235.398564164483104832470417022705078125 optimization time for scenario: 41 = 0.0563070774078369140625 scenario cost: 100952.24948206535191275179386138916015625 Optimization Status: 2 scenario cost: 100952.24948206535191275179386138916015625 optimization time for scenario: 42 = 0.048082828521728515625 scenario cost: 95316.827189692136016674339771270751953125 Optimization Status: 2 scenario cost: 95316.827189692136016674339771270751953125 optimization time for scenario: 43 = 0.0487191677093505859375 scenario cost: 126598.218773566346499137580394744873046875 Optimization Status: 2 scenario cost: 126598.218773566346499137580394744873046875 optimization time for scenario: 44 = 0.0502340793609619140625 scenario cost: 98529.93127304167137481272220611572265625 Optimization Status: 2 scenario cost: 98529.93127304167137481272220611572265625 optimization time for scenario: 45 = 0.0609500408172607421875 scenario cost: 99658.72173349731019698083400726318359375 Optimization Status: 2 scenario cost: 99658.72173349731019698083400726318359375 optimization time for scenario: 46 = 0.1026980876922607421875 scenario cost: 126380.858783696967293508350849151611328125 Optimization Status: 2 scenario cost: 126380.858783696967293508350849151611328125 optimization time for scenario: 47 = 0.0550611019134521484375 scenario cost: 108121.90031225091661326587200164794921875 Optimization Status: 2 scenario cost: 108121.90031225091661326587200164794921875 optimization time for scenario: 48 = 0.053285121917724609375 scenario cost: 103351.58787232890608720481395721435546875 Optimization Status: 2 scenario cost: 103351.58787232890608720481395721435546875 optimization time for scenario: 49 = 0.055369853973388671875 scenario cost: 85580.28986887572682462632656097412109375 Optimization Status: 2 scenario cost: 85580.28986887572682462632656097412109375 optimization time for scenario: 50 = 0.0743310451507568359375 scenario cost: 143976.0638983247918076813220977783203125 Optimization Status: 2 scenario cost: 143976.0638983247918076813220977783203125 optimization time for scenario: 51 = 0.0499770641326904296875 scenario cost: 95797.286948656997992657124996185302734375 Optimization Status: 2 scenario cost: 95797.286948656997992657124996185302734375 optimization time for scenario: 52 = 0.0848751068115234375 scenario cost: 91009.41368441111990250647068023681640625 Optimization Status: 2 scenario cost: 91009.41368441111990250647068023681640625 optimization time for scenario: 53 = 0.093782901763916015625 scenario cost: 87012.665156578514142893254756927490234375 Optimization Status: 2 scenario cost: 87012.665156578514142893254756927490234375 optimization time for scenario: 54 = 0.100760936737060546875 scenario cost: 101892.910092912599793635308742523193359375 Optimization Status: 2 scenario cost: 101892.910092912599793635308742523193359375 optimization time for scenario: 55 = 0.0815799236297607421875 scenario cost: 100282.548237439783406443893909454345703125 Optimization Status: 2 scenario cost: 100282.548237439783406443893909454345703125 optimization time for scenario: 56 = 0.0455429553985595703125 scenario cost: 101788.256268463679589331150054931640625 Optimization Status: 2 scenario cost: 101788.256268463679589331150054931640625 optimization time for scenario: 57 = 0.0496089458465576171875 scenario cost: 103940.085970761938369832932949066162109375 Optimization Status: 2 scenario cost: 103940.085970761938369832932949066162109375 optimization time for scenario: 58 = 0.04744815826416015625 scenario cost: 112572.770771420080563984811305999755859375 Optimization Status: 2 scenario cost: 112572.770771420080563984811305999755859375 optimization time for scenario: 59 = 0.0495240688323974609375 Sending cuts of back to the stg 1 solver Objective Value 17482.36713844741098000667989253997802734375 memory usage: 112209000 received node: gen cut: Rental Cost 0 scenario cost: 97041.6736038857488892972469329833984375 Optimization Status: 2 scenario cost: 97041.6736038857488892972469329833984375 optimization time for scenario: 20 = 0.091187953948974609375 scenario cost: 86727.05730487708933651447296142578125 Optimization Status: 2 scenario cost: 86727.05730487708933651447296142578125 optimization time for scenario: 21 = 0.0955770015716552734375 scenario cost: 85230.841124273298191837966442108154296875 Optimization Status: 2 scenario cost: 85230.841124273298191837966442108154296875 optimization time for scenario: 22 = 0.0900669097900390625 scenario cost: 94175.670782511893776245415210723876953125 Optimization Status: 2 scenario cost: 94175.670782511893776245415210723876953125 optimization time for scenario: 23 = 0.0452880859375 scenario cost: 78606.596578072771080769598484039306640625 Optimization Status: 2 scenario cost: 78606.596578072771080769598484039306640625 optimization time for scenario: 24 = 0.04540920257568359375 scenario cost: 97039.881731476387358270585536956787109375 Optimization Status: 2 scenario cost: 97039.881731476387358270585536956787109375 optimization time for scenario: 25 = 0.045240879058837890625 scenario cost: 85197.37465397082269191741943359375 Optimization Status: 2 scenario cost: 85197.37465397082269191741943359375 optimization time for scenario: 26 = 0.045239925384521484375 scenario cost: 90885.993874907915596850216388702392578125 Optimization Status: 2 scenario cost: 90885.993874907915596850216388702392578125 optimization time for scenario: 27 = 0.044043064117431640625 scenario cost: 102054.56723362320917658507823944091796875 Optimization Status: 2 scenario cost: 102054.56723362320917658507823944091796875 optimization time for scenario: 28 = 0.0460050106048583984375 scenario cost: 93524.45219365999219007790088653564453125 Optimization Status: 2 scenario cost: 93524.45219365999219007790088653564453125 optimization time for scenario: 29 = 0.04554080963134765625 scenario cost: 123965.803827237556106410920619964599609375 Optimization Status: 2 scenario cost: 123965.803827237556106410920619964599609375 optimization time for scenario: 30 = 0.0426361560821533203125 scenario cost: 100777.22733256252831779420375823974609375 Optimization Status: 2 scenario cost: 100777.22733256252831779420375823974609375 optimization time for scenario: 31 = 0.0442330837249755859375 scenario cost: 113115.248321750099421478807926177978515625 Optimization Status: 2 scenario cost: 113115.248321750099421478807926177978515625 optimization time for scenario: 32 = 0.043961048126220703125 scenario cost: 105619.91097955915029160678386688232421875 Optimization Status: 2 scenario cost: 105619.91097955915029160678386688232421875 optimization time for scenario: 33 = 0.0440349578857421875 scenario cost: 108783.138836965677910484373569488525390625 Optimization Status: 2 scenario cost: 108783.138836965677910484373569488525390625 optimization time for scenario: 34 = 0.04668903350830078125 scenario cost: 99574.519773264342802576720714569091796875 Optimization Status: 2 scenario cost: 99574.519773264342802576720714569091796875 optimization time for scenario: 35 = 0.0443670749664306640625 scenario cost: 85029.474239997376571409404277801513671875 Optimization Status: 2 scenario cost: 85029.474239997376571409404277801513671875 optimization time for scenario: 36 = 0.045452117919921875 scenario cost: 94045.254619245810317806899547576904296875 Optimization Status: 2 scenario cost: 94045.254619245810317806899547576904296875 optimization time for scenario: 37 = 0.044064044952392578125 scenario cost: 103325.502266893236082978546619415283203125 Optimization Status: 2 scenario cost: 103325.502266893236082978546619415283203125 optimization time for scenario: 38 = 0.0458691120147705078125 scenario cost: 92639.773311577693675644695758819580078125 Optimization Status: 2 scenario cost: 92639.773311577693675644695758819580078125 optimization time for scenario: 39 = 0.044561862945556640625 Sending cuts of back to the stg 1 solver Objective Value 16144.60177625385040300898253917694091796875 memory usage: 112210680 received node: gen cut: Rental Cost 0 scenario cost: 104516.25789260861347429454326629638671875 Optimization Status: 2 scenario cost: 104516.25789260861347429454326629638671875 optimization time for scenario: 60 = 0.1280879974365234375 scenario cost: 85668.35907166529796086251735687255859375 Optimization Status: 2 scenario cost: 85668.35907166529796086251735687255859375 optimization time for scenario: 61 = 0.09230899810791015625 scenario cost: 87518.7981851960648782551288604736328125 Optimization Status: 2 scenario cost: 87518.7981851960648782551288604736328125 optimization time for scenario: 62 = 0.106377124786376953125 scenario cost: 88326.417930929412250407040119171142578125 Optimization Status: 2 scenario cost: 88326.417930929412250407040119171142578125 optimization time for scenario: 63 = 0.0516679286956787109375 scenario cost: 103131.931666674398002214729785919189453125 Optimization Status: 2 scenario cost: 103131.931666674398002214729785919189453125 optimization time for scenario: 64 = 0.0532550811767578125 scenario cost: 105390.433616929469280876219272613525390625 Optimization Status: 2 scenario cost: 105390.433616929469280876219272613525390625 optimization time for scenario: 65 = 0.050633907318115234375 scenario cost: 97067.0962925425847060978412628173828125 Optimization Status: 2 scenario cost: 97067.0962925425847060978412628173828125 optimization time for scenario: 66 = 0.050858020782470703125 scenario cost: 89939.663788869322161190211772918701171875 Optimization Status: 2 scenario cost: 89939.663788869322161190211772918701171875 optimization time for scenario: 67 = 0.04767894744873046875 scenario cost: 88717.810679267000523395836353302001953125 Optimization Status: 2 scenario cost: 88717.810679267000523395836353302001953125 optimization time for scenario: 68 = 0.054172992706298828125 scenario cost: 92735.503410418517887592315673828125 Optimization Status: 2 scenario cost: 92735.503410418517887592315673828125 optimization time for scenario: 69 = 0.0520670413970947265625 scenario cost: 84049.306856069000787101686000823974609375 Optimization Status: 2 scenario cost: 84049.306856069000787101686000823974609375 optimization time for scenario: 70 = 0.052568912506103515625 scenario cost: 108932.443225772251025773584842681884765625 Optimization Status: 2 scenario cost: 108932.443225772251025773584842681884765625 optimization time for scenario: 71 = 0.049808979034423828125 scenario cost: 102169.217708632044377736747264862060546875 Optimization Status: 2 scenario cost: 102169.217708632044377736747264862060546875 optimization time for scenario: 72 = 0.0482118129730224609375 scenario cost: 103027.274382985560805536806583404541015625 Optimization Status: 2 scenario cost: 103027.274382985560805536806583404541015625 optimization time for scenario: 73 = 0.04990386962890625 scenario cost: 89365.90961706530652008950710296630859375 Optimization Status: 2 scenario cost: 89365.90961706530652008950710296630859375 optimization time for scenario: 74 = 0.0494861602783203125 scenario cost: 107023.73681167629547417163848876953125 Optimization Status: 2 scenario cost: 107023.73681167629547417163848876953125 optimization time for scenario: 75 = 0.087457180023193359375 scenario cost: 94930.908663470079773105680942535400390625 Optimization Status: 2 scenario cost: 94930.908663470079773105680942535400390625 optimization time for scenario: 76 = 0.0984160900115966796875 scenario cost: 97042.938828046564594842493534088134765625 Optimization Status: 2 scenario cost: 97042.938828046564594842493534088134765625 optimization time for scenario: 77 = 0.113790988922119140625 scenario cost: 93295.01049140412942506372928619384765625 Optimization Status: 2 scenario cost: 93295.01049140412942506372928619384765625 optimization time for scenario: 78 = 0.064548969268798828125 scenario cost: 91703.326366896028048358857631683349609375 Optimization Status: 2 scenario cost: 91703.326366896028048358857631683349609375 optimization time for scenario: 79 = 0.053462982177734375 Sending cuts of back to the stg 1 solver Objective Value 15954.539060647801306913606822490692138671875 memory usage: 112212040 received node: gen cut: Rental Cost 0 scenario cost: 85052.335714998320327140390872955322265625 Optimization Status: 2 scenario cost: 85052.335714998320327140390872955322265625 optimization time for scenario: 0 = 0.05690097808837890625 scenario cost: 92375.14696603998891077935695648193359375 Optimization Status: 2 scenario cost: 92375.14696603998891077935695648193359375 optimization time for scenario: 1 = 0.0492999553680419921875 scenario cost: 96594.492437317370786331593990325927734375 Optimization Status: 2 scenario cost: 96594.492437317370786331593990325927734375 optimization time for scenario: 2 = 0.052012920379638671875 scenario cost: 97065.21586147951893508434295654296875 Optimization Status: 2 scenario cost: 97065.21586147951893508434295654296875 optimization time for scenario: 3 = 0.0466229915618896484375 scenario cost: 103432.91410948286647908389568328857421875 Optimization Status: 2 scenario cost: 103432.91410948286647908389568328857421875 optimization time for scenario: 4 = 0.0530071258544921875 scenario cost: 107258.85995912351063452661037445068359375 Optimization Status: 2 scenario cost: 107258.85995912351063452661037445068359375 optimization time for scenario: 5 = 0.049826145172119140625 scenario cost: 93210.769252763813710771501064300537109375 Optimization Status: 2 scenario cost: 93210.769252763813710771501064300537109375 optimization time for scenario: 6 = 0.050176143646240234375 scenario cost: 93544.444933877457515336573123931884765625 Optimization Status: 2 scenario cost: 93544.444933877457515336573123931884765625 optimization time for scenario: 7 = 0.0522530078887939453125 scenario cost: 85927.62699043625616468489170074462890625 Optimization Status: 2 scenario cost: 85927.62699043625616468489170074462890625 optimization time for scenario: 8 = 0.04934597015380859375 scenario cost: 103961.46928210646728985011577606201171875 Optimization Status: 2 scenario cost: 103961.46928210646728985011577606201171875 optimization time for scenario: 9 = 0.04879283905029296875 scenario cost: 94307.959431534982286393642425537109375 Optimization Status: 2 scenario cost: 94307.959431534982286393642425537109375 optimization time for scenario: 10 = 0.0581319332122802734375 scenario cost: 79257.3793845570762641727924346923828125 Optimization Status: 2 scenario cost: 79257.3793845570762641727924346923828125 optimization time for scenario: 11 = 0.106739044189453125 scenario cost: 99538.067941296481876634061336517333984375 Optimization Status: 2 scenario cost: 99538.067941296481876634061336517333984375 optimization time for scenario: 12 = 0.10144805908203125 scenario cost: 95704.320824380833073519170284271240234375 Optimization Status: 2 scenario cost: 95704.320824380833073519170284271240234375 optimization time for scenario: 13 = 0.1045339107513427734375 scenario cost: 94004.87793164627510122954845428466796875 Optimization Status: 2 scenario cost: 94004.87793164627510122954845428466796875 optimization time for scenario: 14 = 0.0497100353240966796875 scenario cost: 108259.13055589664145372807979583740234375 Optimization Status: 2 scenario cost: 108259.13055589664145372807979583740234375 optimization time for scenario: 15 = 0.04862499237060546875 scenario cost: 93092.189872528964770026504993438720703125 Optimization Status: 2 scenario cost: 93092.189872528964770026504993438720703125 optimization time for scenario: 16 = 0.049046993255615234375 scenario cost: 89330.73505382073926739394664764404296875 Optimization Status: 2 scenario cost: 89330.73505382073926739394664764404296875 optimization time for scenario: 17 = 0.050486087799072265625 scenario cost: 109536.46297075998154468834400177001953125 Optimization Status: 2 scenario cost: 109536.46297075998154468834400177001953125 optimization time for scenario: 18 = 0.0470330715179443359375 scenario cost: 94861.370024190007825382053852081298828125 Optimization Status: 2 scenario cost: 94861.370024190007825382053852081298828125 optimization time for scenario: 19 = 0.06188201904296875 Sending cuts of back to the stg 1 solver Objective Value 15969.234201959659912972711026668548583984375 memory usage: 112213720 received node: gen cut: Rental Cost 0 scenario cost: 96418.076755792935728095471858978271484375 Optimization Status: 2 scenario cost: 96418.076755792935728095471858978271484375 optimization time for scenario: 60 = 0.058557987213134765625 scenario cost: 80597.164111608159146271646022796630859375 Optimization Status: 2 scenario cost: 80597.164111608159146271646022796630859375 optimization time for scenario: 61 = 0.0524311065673828125 scenario cost: 82497.6510721331578679382801055908203125 Optimization Status: 2 scenario cost: 82497.6510721331578679382801055908203125 optimization time for scenario: 62 = 0.0554420948028564453125 scenario cost: 83497.974987806650460697710514068603515625 Optimization Status: 2 scenario cost: 83497.974987806650460697710514068603515625 optimization time for scenario: 63 = 0.0509231090545654296875 scenario cost: 98005.906488654829445295035839080810546875 Optimization Status: 2 scenario cost: 98005.906488654829445295035839080810546875 optimization time for scenario: 64 = 0.0829360485076904296875 scenario cost: 99225.486091927697998471558094024658203125 Optimization Status: 2 scenario cost: 99225.486091927697998471558094024658203125 optimization time for scenario: 65 = 0.1015088558197021484375 scenario cost: 90554.582331982921459712088108062744140625 Optimization Status: 2 scenario cost: 90554.582331982921459712088108062744140625 optimization time for scenario: 66 = 0.0985691547393798828125 scenario cost: 83615.0924184319446794688701629638671875 Optimization Status: 2 scenario cost: 83615.0924184319446794688701629638671875 optimization time for scenario: 67 = 0.0943729877471923828125 scenario cost: 84006.116736812997260130941867828369140625 Optimization Status: 2 scenario cost: 84006.116736812997260130941867828369140625 optimization time for scenario: 68 = 0.0521991252899169921875 scenario cost: 87648.05971238788333721458911895751953125 Optimization Status: 2 scenario cost: 87648.05971238788333721458911895751953125 optimization time for scenario: 69 = 0.04948711395263671875 scenario cost: 81375.763929374763392843306064605712890625 Optimization Status: 2 scenario cost: 81375.763929374763392843306064605712890625 optimization time for scenario: 70 = 0.051703929901123046875 scenario cost: 102684.803297322258003987371921539306640625 Optimization Status: 2 scenario cost: 102684.803297322258003987371921539306640625 optimization time for scenario: 71 = 0.0495669841766357421875 scenario cost: 97184.889536864895489998161792755126953125 Optimization Status: 2 scenario cost: 97184.889536864895489998161792755126953125 optimization time for scenario: 72 = 0.051502227783203125 scenario cost: 98766.46216408562031574547290802001953125 Optimization Status: 2 scenario cost: 98766.46216408562031574547290802001953125 optimization time for scenario: 73 = 0.073780059814453125 scenario cost: 84143.9504368544439785182476043701171875 Optimization Status: 2 scenario cost: 84143.9504368544439785182476043701171875 optimization time for scenario: 74 = 0.100059032440185546875 scenario cost: 101058.909246573326527141034603118896484375 Optimization Status: 2 scenario cost: 101058.909246573326527141034603118896484375 optimization time for scenario: 75 = 0.09710407257080078125 scenario cost: 90930.07078045859816484153270721435546875 Optimization Status: 2 scenario cost: 90930.07078045859816484153270721435546875 optimization time for scenario: 76 = 0.1081130504608154296875 scenario cost: 92052.61974757511052303016185760498046875 Optimization Status: 2 scenario cost: 92052.61974757511052303016185760498046875 optimization time for scenario: 77 = 0.0988090038299560546875 scenario cost: 88350.09253921985509805381298065185546875 Optimization Status: 2 scenario cost: 88350.09253921985509805381298065185546875 optimization time for scenario: 78 = 0.10196399688720703125 scenario cost: 85260.979168463512905873358249664306640625 Optimization Status: 2 scenario cost: 85260.979168463512905873358249664306640625 optimization time for scenario: 79 = 0.05039119720458984375 Sending cuts of back to the stg 1 solver Objective Value 15065.561833797712097293697297573089599609375 memory usage: 112215240 received node: gen cut: Rental Cost 0 scenario cost: 86967.716131032779230736196041107177734375 Optimization Status: 2 scenario cost: 86967.716131032779230736196041107177734375 optimization time for scenario: 80 = 0.1111061573028564453125 scenario cost: 103933.99765269408817403018474578857421875 Optimization Status: 2 scenario cost: 103933.99765269408817403018474578857421875 optimization time for scenario: 81 = 0.112576961517333984375 scenario cost: 83302.02466175399604253470897674560546875 Optimization Status: 2 scenario cost: 83302.02466175399604253470897674560546875 optimization time for scenario: 82 = 0.147654056549072265625 scenario cost: 96264.091386561325634829699993133544921875 Optimization Status: 2 scenario cost: 96264.091386561325634829699993133544921875 optimization time for scenario: 83 = 0.1096210479736328125 scenario cost: 88147.599131176873925141990184783935546875 Optimization Status: 2 scenario cost: 88147.599131176873925141990184783935546875 optimization time for scenario: 84 = 0.1161301136016845703125 scenario cost: 93386.7579030240885913372039794921875 Optimization Status: 2 scenario cost: 93386.7579030240885913372039794921875 optimization time for scenario: 85 = 0.131597042083740234375 scenario cost: 101105.667023800328024663031101226806640625 Optimization Status: 2 scenario cost: 101105.667023800328024663031101226806640625 optimization time for scenario: 86 = 0.1036970615386962890625 scenario cost: 86175.08058980273199267685413360595703125 Optimization Status: 2 scenario cost: 86175.08058980273199267685413360595703125 optimization time for scenario: 87 = 0.111454010009765625 scenario cost: 83791.32151826986228115856647491455078125 Optimization Status: 2 scenario cost: 83791.32151826986228115856647491455078125 optimization time for scenario: 88 = 0.10050487518310546875 scenario cost: 85183.019304800036479718983173370361328125 Optimization Status: 2 scenario cost: 85183.019304800036479718983173370361328125 optimization time for scenario: 89 = 0.1066219806671142578125 scenario cost: 94252.8420668624457903206348419189453125 Optimization Status: 2 scenario cost: 94252.8420668624457903206348419189453125 optimization time for scenario: 90 = 0.1032669544219970703125 scenario cost: 92133.33530869471724145114421844482421875 Optimization Status: 2 scenario cost: 92133.33530869471724145114421844482421875 optimization time for scenario: 91 = 0.115478992462158203125 scenario cost: 90561.419212972381501458585262298583984375 Optimization Status: 2 scenario cost: 90561.419212972381501458585262298583984375 optimization time for scenario: 92 = 0.0640418529510498046875 scenario cost: 106972.876092508086003363132476806640625 Optimization Status: 2 scenario cost: 106972.876092508086003363132476806640625 optimization time for scenario: 93 = 0.04607105255126953125 scenario cost: 95651.42105222001555375754833221435546875 Optimization Status: 2 scenario cost: 95651.42105222001555375754833221435546875 optimization time for scenario: 94 = 0.0493710041046142578125 scenario cost: 93658.44592669917619787156581878662109375 Optimization Status: 2 scenario cost: 93658.44592669917619787156581878662109375 optimization time for scenario: 95 = 0.041450023651123046875 scenario cost: 87715.634506405898719094693660736083984375 Optimization Status: 2 scenario cost: 87715.634506405898719094693660736083984375 optimization time for scenario: 96 = 0.033092021942138671875 scenario cost: 93496.234734898316673934459686279296875 Optimization Status: 2 scenario cost: 93496.234734898316673934459686279296875 optimization time for scenario: 97 = 0.035441875457763671875 scenario cost: 97067.321989557836786843836307525634765625 Optimization Status: 2 scenario cost: 97067.321989557836786843836307525634765625 optimization time for scenario: 98 = 0.0282189846038818359375 scenario cost: 97618.071994206999079324305057525634765625 Optimization Status: 2 scenario cost: 97618.071994206999079324305057525634765625 optimization time for scenario: 99 = 0.02909088134765625 Sending cuts of back to the stg 1 solver Objective Value 15478.1454054035784793086349964141845703125 memory usage: 112216760 received node: gen cut: Rental Cost 0 scenario cost: 104540.956367372928070835769176483154296875 Optimization Status: 2 scenario cost: 104540.956367372928070835769176483154296875 optimization time for scenario: 100 = 0.0544369220733642578125 scenario cost: 110060.7861777778598479926586151123046875 Optimization Status: 2 scenario cost: 110060.7861777778598479926586151123046875 optimization time for scenario: 101 = 0.0528850555419921875 scenario cost: 88287.482226763720973394811153411865234375 Optimization Status: 2 scenario cost: 88287.482226763720973394811153411865234375 optimization time for scenario: 102 = 0.09264087677001953125 scenario cost: 95661.835414414250408299267292022705078125 Optimization Status: 2 scenario cost: 95661.835414414250408299267292022705078125 optimization time for scenario: 103 = 0.1094150543212890625 scenario cost: 91387.7579351115855388343334197998046875 Optimization Status: 2 scenario cost: 91387.7579351115855388343334197998046875 optimization time for scenario: 104 = 0.107820034027099609375 scenario cost: 104960.58371814902056939899921417236328125 Optimization Status: 2 scenario cost: 104960.58371814902056939899921417236328125 optimization time for scenario: 105 = 0.09829998016357421875 scenario cost: 84656.186194110734504647552967071533203125 Optimization Status: 2 scenario cost: 84656.186194110734504647552967071533203125 optimization time for scenario: 106 = 0.0790789127349853515625 scenario cost: 100142.4019378048251383006572723388671875 Optimization Status: 2 scenario cost: 100142.4019378048251383006572723388671875 optimization time for scenario: 107 = 0.054603099822998046875 scenario cost: 112513.113922197764622978866100311279296875 Optimization Status: 2 scenario cost: 112513.113922197764622978866100311279296875 optimization time for scenario: 108 = 0.0513999462127685546875 scenario cost: 98119.438410828050109557807445526123046875 Optimization Status: 2 scenario cost: 98119.438410828050109557807445526123046875 optimization time for scenario: 109 = 0.0535471439361572265625 scenario cost: 96228.328266334734507836401462554931640625 Optimization Status: 2 scenario cost: 96228.328266334734507836401462554931640625 optimization time for scenario: 110 = 0.0512230396270751953125 scenario cost: 97587.8691185101051814854145050048828125 Optimization Status: 2 scenario cost: 97587.8691185101051814854145050048828125 optimization time for scenario: 111 = 0.0566189289093017578125 scenario cost: 90805.4872939236811362206935882568359375 Optimization Status: 2 scenario cost: 90805.4872939236811362206935882568359375 optimization time for scenario: 112 = 0.0668160915374755859375 scenario cost: 104114.558670633588917553424835205078125 Optimization Status: 2 scenario cost: 104114.558670633588917553424835205078125 optimization time for scenario: 113 = 0.0571448802947998046875 scenario cost: 88407.679581180724198929965496063232421875 Optimization Status: 2 scenario cost: 88407.679581180724198929965496063232421875 optimization time for scenario: 114 = 0.0565631389617919921875 scenario cost: 92597.861515789045370183885097503662109375 Optimization Status: 2 scenario cost: 92597.861515789045370183885097503662109375 optimization time for scenario: 115 = 0.057774066925048828125 scenario cost: 98673.000150492865941487252712249755859375 Optimization Status: 2 scenario cost: 98673.000150492865941487252712249755859375 optimization time for scenario: 116 = 0.0551278591156005859375 scenario cost: 93894.294822966796346008777618408203125 Optimization Status: 2 scenario cost: 93894.294822966796346008777618408203125 optimization time for scenario: 117 = 0.057381153106689453125 scenario cost: 92377.467169749303138814866542816162109375 Optimization Status: 2 scenario cost: 92377.467169749303138814866542816162109375 optimization time for scenario: 118 = 0.0552289485931396484375 scenario cost: 90151.563107647802098654210567474365234375 Optimization Status: 2 scenario cost: 90151.563107647802098654210567474365234375 optimization time for scenario: 119 = 0.052462100982666015625 Sending cuts of back to the stg 1 solver Objective Value 16126.3409277262617251835763454437255859375 memory usage: 112218120 received node: gen cut: Rental Cost 0 scenario cost: 100291.2936315632541663944721221923828125 Optimization Status: 2 scenario cost: 100291.2936315632541663944721221923828125 optimization time for scenario: 60 = 0.0506839752197265625 scenario cost: 82807.405884556457749567925930023193359375 Optimization Status: 2 scenario cost: 82807.405884556457749567925930023193359375 optimization time for scenario: 61 = 0.055245876312255859375 scenario cost: 84422.92531439141021110117435455322265625 Optimization Status: 2 scenario cost: 84422.92531439141021110117435455322265625 optimization time for scenario: 62 = 0.0521261692047119140625 scenario cost: 85089.05251523797051049768924713134765625 Optimization Status: 2 scenario cost: 85089.05251523797051049768924713134765625 optimization time for scenario: 63 = 0.0560729503631591796875 scenario cost: 100368.778566215289174579083919525146484375 Optimization Status: 2 scenario cost: 100368.778566215289174579083919525146484375 optimization time for scenario: 64 = 0.0781199932098388671875 scenario cost: 101370.366494303641957230865955352783203125 Optimization Status: 2 scenario cost: 101370.366494303641957230865955352783203125 optimization time for scenario: 65 = 0.1117269992828369140625 scenario cost: 92751.972243375261314213275909423828125 Optimization Status: 2 scenario cost: 92751.972243375261314213275909423828125 optimization time for scenario: 66 = 0.1169288158416748046875 scenario cost: 85678.6199774190899915993213653564453125 Optimization Status: 2 scenario cost: 85678.6199774190899915993213653564453125 optimization time for scenario: 67 = 0.097284793853759765625 scenario cost: 85721.241715534895774908363819122314453125 Optimization Status: 2 scenario cost: 85721.241715534895774908363819122314453125 optimization time for scenario: 68 = 0.114263057708740234375 scenario cost: 89939.18416482509928755462169647216796875 Optimization Status: 2 scenario cost: 89939.18416482509928755462169647216796875 optimization time for scenario: 69 = 0.092403888702392578125 scenario cost: 81430.126135863363742828369140625 Optimization Status: 2 scenario cost: 81430.126135863363742828369140625 optimization time for scenario: 70 = 0.1040298938751220703125 scenario cost: 104811.92280346076586283743381500244140625 Optimization Status: 2 scenario cost: 104811.92280346076586283743381500244140625 optimization time for scenario: 71 = 0.06445407867431640625 scenario cost: 99197.012368996583973057568073272705078125 Optimization Status: 2 scenario cost: 99197.012368996583973057568073272705078125 optimization time for scenario: 72 = 0.054007053375244140625 scenario cost: 99804.500279234795016236603260040283203125 Optimization Status: 2 scenario cost: 99804.500279234795016236603260040283203125 optimization time for scenario: 73 = 0.054108142852783203125 scenario cost: 86368.16755311188171617686748504638671875 Optimization Status: 2 scenario cost: 86368.16755311188171617686748504638671875 optimization time for scenario: 74 = 0.0514571666717529296875 scenario cost: 103257.429470631177537143230438232421875 Optimization Status: 2 scenario cost: 103257.429470631177537143230438232421875 optimization time for scenario: 75 = 0.0519809722900390625 scenario cost: 91840.639827496881480328738689422607421875 Optimization Status: 2 scenario cost: 91840.639827496881480328738689422607421875 optimization time for scenario: 76 = 0.05025005340576171875 scenario cost: 94133.58586399469641037285327911376953125 Optimization Status: 2 scenario cost: 94133.58586399469641037285327911376953125 optimization time for scenario: 77 = 0.05294895172119140625 scenario cost: 90254.166170026772306300699710845947265625 Optimization Status: 2 scenario cost: 90254.166170026772306300699710845947265625 optimization time for scenario: 78 = 0.0519390106201171875 scenario cost: 87433.4177325547789223492145538330078125 Optimization Status: 2 scenario cost: 87433.4177325547789223492145538330078125 optimization time for scenario: 79 = 0.0546810626983642578125 Sending cuts of back to the stg 1 solver Objective Value 15391.370173546325531788170337677001953125 memory usage: 112219640 received node: gen cut: Rental Cost 0 scenario cost: 84334.0263006162713281810283660888671875 Optimization Status: 2 scenario cost: 84334.0263006162713281810283660888671875 optimization time for scenario: 80 = 0.108746051788330078125 scenario cost: 101021.1133553539984859526157379150390625 Optimization Status: 2 scenario cost: 101021.1133553539984859526157379150390625 optimization time for scenario: 81 = 0.1266720294952392578125 scenario cost: 80346.029524921978008933365345001220703125 Optimization Status: 2 scenario cost: 80346.029524921978008933365345001220703125 optimization time for scenario: 82 = 0.0568370819091796875 scenario cost: 93223.92733925001812167465686798095703125 Optimization Status: 2 scenario cost: 93223.92733925001812167465686798095703125 optimization time for scenario: 83 = 0.055921077728271484375 scenario cost: 85018.69936725651496089994907379150390625 Optimization Status: 2 scenario cost: 85018.69936725651496089994907379150390625 optimization time for scenario: 84 = 0.06659603118896484375 scenario cost: 90369.791204533496056683361530303955078125 Optimization Status: 2 scenario cost: 90369.791204533496056683361530303955078125 optimization time for scenario: 85 = 0.10978603363037109375 scenario cost: 98091.31052162082050926983356475830078125 Optimization Status: 2 scenario cost: 98091.31052162082050926983356475830078125 optimization time for scenario: 86 = 0.0652678012847900390625 scenario cost: 83170.659924524909001775085926055908203125 Optimization Status: 2 scenario cost: 83170.659924524909001775085926055908203125 optimization time for scenario: 87 = 0.1151030063629150390625 scenario cost: 80865.545398664122330956161022186279296875 Optimization Status: 2 scenario cost: 80865.545398664122330956161022186279296875 optimization time for scenario: 88 = 0.05533695220947265625 scenario cost: 81988.719596333670779131352901458740234375 Optimization Status: 2 scenario cost: 81988.719596333670779131352901458740234375 optimization time for scenario: 89 = 0.1214039325714111328125 scenario cost: 91114.6167914572288282215595245361328125 Optimization Status: 2 scenario cost: 91114.6167914572288282215595245361328125 optimization time for scenario: 90 = 0.14085102081298828125 scenario cost: 89036.57475433373474515974521636962890625 Optimization Status: 2 scenario cost: 89036.57475433373474515974521636962890625 optimization time for scenario: 91 = 0.11836910247802734375 scenario cost: 87493.51943568358547054231166839599609375 Optimization Status: 2 scenario cost: 87493.51943568358547054231166839599609375 optimization time for scenario: 92 = 0.053852081298828125 scenario cost: 103840.403765767186996527016162872314453125 Optimization Status: 2 scenario cost: 103840.403765767186996527016162872314453125 optimization time for scenario: 93 = 0.0547239780426025390625 scenario cost: 92645.40418423720984719693660736083984375 Optimization Status: 2 scenario cost: 92645.40418423720984719693660736083984375 optimization time for scenario: 94 = 0.0582420825958251953125 scenario cost: 90867.916087122270255349576473236083984375 Optimization Status: 2 scenario cost: 90867.916087122270255349576473236083984375 optimization time for scenario: 95 = 0.0536291599273681640625 scenario cost: 84773.2077724929549731314182281494140625 Optimization Status: 2 scenario cost: 84773.2077724929549731314182281494140625 optimization time for scenario: 96 = 0.051990985870361328125 scenario cost: 90412.298318308559828437864780426025390625 Optimization Status: 2 scenario cost: 90412.298318308559828437864780426025390625 optimization time for scenario: 97 = 0.052299976348876953125 scenario cost: 93989.708769665099680423736572265625 Optimization Status: 2 scenario cost: 93989.708769665099680423736572265625 optimization time for scenario: 98 = 0.0767438411712646484375 scenario cost: 94620.869457704466185532510280609130859375 Optimization Status: 2 scenario cost: 94620.869457704466185532510280609130859375 optimization time for scenario: 99 = 0.113999843597412109375 Sending cuts of back to the stg 1 solver Objective Value 14976.809608104003928019665181636810302734375 memory usage: 112221320 received node: gen cut: Rental Cost 0 scenario cost: 87077.595922776949009858071804046630859375 Optimization Status: 2 scenario cost: 87077.595922776949009858071804046630859375 optimization time for scenario: 80 = 0.0524418354034423828125 scenario cost: 104166.691078161937184631824493408203125 Optimization Status: 2 scenario cost: 104166.691078161937184631824493408203125 optimization time for scenario: 81 = 0.0504081249237060546875 scenario cost: 83549.435781029853387735784053802490234375 Optimization Status: 2 scenario cost: 83549.435781029853387735784053802490234375 optimization time for scenario: 82 = 0.0559329986572265625 scenario cost: 97134.91817100488697178661823272705078125 Optimization Status: 2 scenario cost: 97134.91817100488697178661823272705078125 optimization time for scenario: 83 = 0.054782867431640625 scenario cost: 88262.4027088080183602869510650634765625 Optimization Status: 2 scenario cost: 88262.4027088080183602869510650634765625 optimization time for scenario: 84 = 0.0614578723907470703125 scenario cost: 93487.419648328985203988850116729736328125 Optimization Status: 2 scenario cost: 93487.419648328985203988850116729736328125 optimization time for scenario: 85 = 0.0554239749908447265625 scenario cost: 101501.93351951529621146619319915771484375 Optimization Status: 2 scenario cost: 101501.93351951529621146619319915771484375 optimization time for scenario: 86 = 0.0569589138031005859375 scenario cost: 86083.4875366323976777493953704833984375 Optimization Status: 2 scenario cost: 86083.4875366323976777493953704833984375 optimization time for scenario: 87 = 0.1146800518035888671875 scenario cost: 83873.538900852319784462451934814453125 Optimization Status: 2 scenario cost: 83873.538900852319784462451934814453125 optimization time for scenario: 88 = 0.129086971282958984375 scenario cost: 85443.751097748827305622398853302001953125 Optimization Status: 2 scenario cost: 85443.751097748827305622398853302001953125 optimization time for scenario: 89 = 0.117430210113525390625 scenario cost: 94408.03278010323992930352687835693359375 Optimization Status: 2 scenario cost: 94408.03278010323992930352687835693359375 optimization time for scenario: 90 = 0.1005699634552001953125 scenario cost: 92231.73954818563652224838733673095703125 Optimization Status: 2 scenario cost: 92231.73954818563652224838733673095703125 optimization time for scenario: 91 = 0.1164100170135498046875 scenario cost: 91086.13969309462117962539196014404296875 Optimization Status: 2 scenario cost: 91086.13969309462117962539196014404296875 optimization time for scenario: 92 = 0.0955278873443603515625 scenario cost: 107049.412931838611257262527942657470703125 Optimization Status: 2 scenario cost: 107049.412931838611257262527942657470703125 optimization time for scenario: 93 = 0.0994389057159423828125 scenario cost: 96040.46351429002243094146251678466796875 Optimization Status: 2 scenario cost: 96040.46351429002243094146251678466796875 optimization time for scenario: 94 = 0.102678775787353515625 scenario cost: 93886.039743067332892678678035736083984375 Optimization Status: 2 scenario cost: 93886.039743067332892678678035736083984375 optimization time for scenario: 95 = 0.1229550838470458984375 scenario cost: 87632.4204922749777324497699737548828125 Optimization Status: 2 scenario cost: 87632.4204922749777324497699737548828125 optimization time for scenario: 96 = 0.0547420978546142578125 scenario cost: 93698.738688755882321856915950775146484375 Optimization Status: 2 scenario cost: 93698.738688755882321856915950775146484375 optimization time for scenario: 97 = 0.0346090793609619140625 scenario cost: 97072.887990277362405322492122650146484375 Optimization Status: 2 scenario cost: 97072.887990277362405322492122650146484375 optimization time for scenario: 98 = 0.0362598896026611328125 scenario cost: 97819.7323467749520204961299896240234375 Optimization Status: 2 scenario cost: 97819.7323467749520204961299896240234375 optimization time for scenario: 99 = 0.0346429347991943359375 Sending cuts of back to the stg 1 solver Objective Value 15512.494467219947182456962764263153076171875 memory usage: 112222840 received node: gen cut: Rental Cost 0 scenario cost: 98332.959681207896210253238677978515625 Optimization Status: 2 scenario cost: 98332.959681207896210253238677978515625 optimization time for scenario: 100 = 0.1067831516265869140625 scenario cost: 103149.898099452475435100495815277099609375 Optimization Status: 2 scenario cost: 103149.898099452475435100495815277099609375 optimization time for scenario: 101 = 0.164699077606201171875 scenario cost: 83403.597968380068778060376644134521484375 Optimization Status: 2 scenario cost: 83403.597968380068778060376644134521484375 optimization time for scenario: 102 = 0.0561468601226806640625 scenario cost: 90041.655799551735981367528438568115234375 Optimization Status: 2 scenario cost: 90041.655799551735981367528438568115234375 optimization time for scenario: 103 = 0.126327037811279296875 scenario cost: 86599.310263575185672380030155181884765625 Optimization Status: 2 scenario cost: 86599.310263575185672380030155181884765625 optimization time for scenario: 104 = 0.16761302947998046875 scenario cost: 97800.839546349758165888488292694091796875 Optimization Status: 2 scenario cost: 97800.839546349758165888488292694091796875 optimization time for scenario: 105 = 0.0975668430328369140625 scenario cost: 79438.307086975939455442130565643310546875 Optimization Status: 2 scenario cost: 79438.307086975939455442130565643310546875 optimization time for scenario: 106 = 0.05292510986328125 scenario cost: 93844.649565445535699836909770965576171875 Optimization Status: 2 scenario cost: 93844.649565445535699836909770965576171875 optimization time for scenario: 107 = 0.0564060211181640625 scenario cost: 107146.53328538234927691519260406494140625 Optimization Status: 2 scenario cost: 107146.53328538234927691519260406494140625 optimization time for scenario: 108 = 0.054840087890625 scenario cost: 92779.122642786751384846866130828857421875 Optimization Status: 2 scenario cost: 92779.122642786751384846866130828857421875 optimization time for scenario: 109 = 0.0587978363037109375 scenario cost: 90392.41879965914995409548282623291015625 Optimization Status: 2 scenario cost: 90392.41879965914995409548282623291015625 optimization time for scenario: 110 = 0.055934906005859375 scenario cost: 92487.63714376176358200609683990478515625 Optimization Status: 2 scenario cost: 92487.63714376176358200609683990478515625 optimization time for scenario: 111 = 0.0935039520263671875 scenario cost: 85369.933471612515859305858612060546875 Optimization Status: 2 scenario cost: 85369.933471612515859305858612060546875 optimization time for scenario: 112 = 0.1175429821014404296875 scenario cost: 98811.170257293983013369143009185791015625 Optimization Status: 2 scenario cost: 98811.170257293983013369143009185791015625 optimization time for scenario: 113 = 0.1235678195953369140625 scenario cost: 83196.49478004008415155112743377685546875 Optimization Status: 2 scenario cost: 83196.49478004008415155112743377685546875 optimization time for scenario: 114 = 0.111589908599853515625 scenario cost: 86537.976913860460626892745494842529296875 Optimization Status: 2 scenario cost: 86537.976913860460626892745494842529296875 optimization time for scenario: 115 = 0.1131689548492431640625 scenario cost: 92939.7038572048186324536800384521484375 Optimization Status: 2 scenario cost: 92939.7038572048186324536800384521484375 optimization time for scenario: 116 = 0.0708749294281005859375 scenario cost: 88232.44139640522189438343048095703125 Optimization Status: 2 scenario cost: 88232.44139640522189438343048095703125 optimization time for scenario: 117 = 0.0432059764862060546875 scenario cost: 87053.14192268022452481091022491455078125 Optimization Status: 2 scenario cost: 87053.14192268022452481091022491455078125 optimization time for scenario: 118 = 0.0445249080657958984375 scenario cost: 84984.507185687907622195780277252197265625 Optimization Status: 2 scenario cost: 84984.507185687907622195780277252197265625 optimization time for scenario: 119 = 0.0340888500213623046875 Sending cuts of back to the stg 1 solver Objective Value 15187.79174581762708839960396289825439453125 memory usage: 112224360 received node: gen cut: Rental Cost 0 scenario cost: 101894.9970981010119430720806121826171875 Optimization Status: 2 scenario cost: 101894.9970981010119430720806121826171875 optimization time for scenario: 100 = 0.04911518096923828125 scenario cost: 107241.268686322859139181673526763916015625 Optimization Status: 2 scenario cost: 107241.268686322859139181673526763916015625 optimization time for scenario: 101 = 0.0988368988037109375 scenario cost: 85572.489772185523179359734058380126953125 Optimization Status: 2 scenario cost: 85572.489772185523179359734058380126953125 optimization time for scenario: 102 = 0.0995709896087646484375 scenario cost: 92882.970798316193395294249057769775390625 Optimization Status: 2 scenario cost: 92882.970798316193395294249057769775390625 optimization time for scenario: 103 = 0.0820791721343994140625 scenario cost: 88665.42067983848392032086849212646484375 Optimization Status: 2 scenario cost: 88665.42067983848392032086849212646484375 optimization time for scenario: 104 = 0.1027920246124267578125 scenario cost: 102106.757717931279330514371395111083984375 Optimization Status: 2 scenario cost: 102106.757717931279330514371395111083984375 optimization time for scenario: 105 = 0.0929892063140869140625 scenario cost: 82027.685976334571023471653461456298828125 Optimization Status: 2 scenario cost: 82027.685976334571023471653461456298828125 optimization time for scenario: 106 = 0.09327220916748046875 scenario cost: 97304.08191391421132721006870269775390625 Optimization Status: 2 scenario cost: 97304.08191391421132721006870269775390625 optimization time for scenario: 107 = 0.0967559814453125 scenario cost: 109674.966541988062090240418910980224609375 Optimization Status: 2 scenario cost: 109674.966541988062090240418910980224609375 optimization time for scenario: 108 = 0.102408885955810546875 scenario cost: 95402.65204951775376684963703155517578125 Optimization Status: 2 scenario cost: 95402.65204951775376684963703155517578125 optimization time for scenario: 109 = 0.085219860076904296875 scenario cost: 93465.9941528295166790485382080078125 Optimization Status: 2 scenario cost: 93465.9941528295166790485382080078125 optimization time for scenario: 110 = 0.0767519474029541015625 scenario cost: 94749.7964243875467218458652496337890625 Optimization Status: 2 scenario cost: 94749.7964243875467218458652496337890625 optimization time for scenario: 111 = 0.0474970340728759765625 scenario cost: 88109.009542367755784653127193450927734375 Optimization Status: 2 scenario cost: 88109.009542367755784653127193450927734375 optimization time for scenario: 112 = 0.050264835357666015625 scenario cost: 101366.116352466517128050327301025390625 Optimization Status: 2 scenario cost: 101366.116352466517128050327301025390625 optimization time for scenario: 113 = 0.043940067291259765625 scenario cost: 85749.682309446870931424200534820556640625 Optimization Status: 2 scenario cost: 85749.682309446870931424200534820556640625 optimization time for scenario: 114 = 0.0447661876678466796875 scenario cost: 89786.484692232406814582645893096923828125 Optimization Status: 2 scenario cost: 89786.484692232406814582645893096923828125 optimization time for scenario: 115 = 0.04617595672607421875 scenario cost: 95834.740416656408342532813549041748046875 Optimization Status: 2 scenario cost: 95834.740416656408342532813549041748046875 optimization time for scenario: 116 = 0.0462779998779296875 scenario cost: 91065.073733621058636344969272613525390625 Optimization Status: 2 scenario cost: 91065.073733621058636344969272613525390625 optimization time for scenario: 117 = 0.04701519012451171875 scenario cost: 89424.5536011839867569506168365478515625 Optimization Status: 2 scenario cost: 89424.5536011839867569506168365478515625 optimization time for scenario: 118 = 0.0490779876708984375 scenario cost: 87501.242790532080107368528842926025390625 Optimization Status: 2 scenario cost: 87501.242790532080107368528842926025390625 optimization time for scenario: 119 = 0.029193878173828125 Sending cuts of back to the stg 1 solver Objective Value 15665.15388288527537952177226543426513671875 memory usage: 112225720 received node: gen cut: Rental Cost 0 scenario cost: 86382.7935659629874862730503082275390625 Optimization Status: 2 scenario cost: 86382.7935659629874862730503082275390625 optimization time for scenario: 40 = 0.1102859973907470703125 scenario cost: 102550.427211560294381342828273773193359375 Optimization Status: 2 scenario cost: 102550.427211560294381342828273773193359375 optimization time for scenario: 41 = 0.1057798862457275390625 scenario cost: 90125.34954373227083124220371246337890625 Optimization Status: 2 scenario cost: 90125.34954373227083124220371246337890625 optimization time for scenario: 42 = 0.1226332187652587890625 scenario cost: 83767.802891749524860642850399017333984375 Optimization Status: 2 scenario cost: 83767.802891749524860642850399017333984375 optimization time for scenario: 43 = 0.1041619777679443359375 scenario cost: 107183.16639809534535743296146392822265625 Optimization Status: 2 scenario cost: 107183.16639809534535743296146392822265625 optimization time for scenario: 44 = 0.0973999500274658203125 scenario cost: 87827.972731733767432160675525665283203125 Optimization Status: 2 scenario cost: 87827.972731733767432160675525665283203125 optimization time for scenario: 45 = 0.119309902191162109375 scenario cost: 89807.083141877432353794574737548828125 Optimization Status: 2 scenario cost: 89807.083141877432353794574737548828125 optimization time for scenario: 46 = 0.1160519123077392578125 scenario cost: 101848.44122133241035044193267822265625 Optimization Status: 2 scenario cost: 101848.44122133241035044193267822265625 optimization time for scenario: 47 = 0.1140410900115966796875 scenario cost: 96799.41968879153137095272541046142578125 Optimization Status: 2 scenario cost: 96799.41968879153137095272541046142578125 optimization time for scenario: 48 = 0.06819915771484375 scenario cost: 90688.268033525338978506624698638916015625 Optimization Status: 2 scenario cost: 90688.268033525338978506624698638916015625 optimization time for scenario: 49 = 0.0508759021759033203125 scenario cost: 76323.12577276219963096082210540771484375 Optimization Status: 2 scenario cost: 76323.12577276219963096082210540771484375 optimization time for scenario: 50 = 0.055255889892578125 scenario cost: 111390.67264624751987867057323455810546875 Optimization Status: 2 scenario cost: 111390.67264624751987867057323455810546875 optimization time for scenario: 51 = 0.0508658885955810546875 scenario cost: 83607.921930429220083169639110565185546875 Optimization Status: 2 scenario cost: 83607.921930429220083169639110565185546875 optimization time for scenario: 52 = 0.0563390254974365234375 scenario cost: 79869.4619902414269745349884033203125 Optimization Status: 2 scenario cost: 79869.4619902414269745349884033203125 optimization time for scenario: 53 = 0.0538799762725830078125 scenario cost: 78358.933855145587585866451263427734375 Optimization Status: 2 scenario cost: 78358.933855145587585866451263427734375 optimization time for scenario: 54 = 0.05347919464111328125 scenario cost: 82726.956657361137331463396549224853515625 Optimization Status: 2 scenario cost: 82726.956657361137331463396549224853515625 optimization time for scenario: 55 = 0.0522158145904541015625 scenario cost: 88960.09956879421952180564403533935546875 Optimization Status: 2 scenario cost: 88960.09956879421952180564403533935546875 optimization time for scenario: 56 = 0.05605602264404296875 scenario cost: 92001.764101699576713144779205322265625 Optimization Status: 2 scenario cost: 92001.764101699576713144779205322265625 optimization time for scenario: 57 = 0.0603129863739013671875 scenario cost: 92915.737570165845681913197040557861328125 Optimization Status: 2 scenario cost: 92915.737570165845681913197040557861328125 optimization time for scenario: 58 = 0.0567948818206787109375 scenario cost: 100713.741219367409939877688884735107421875 Optimization Status: 2 scenario cost: 100713.741219367409939877688884735107421875 optimization time for scenario: 59 = 0.0571539402008056640625 Sending cuts of back to the stg 1 solver Objective Value 15198.68203620013446197845041751861572265625 memory usage: 112227400 received node: gen cut: Rental Cost 0 scenario cost: 88302.02404219374875538051128387451171875 Optimization Status: 2 scenario cost: 88302.02404219374875538051128387451171875 optimization time for scenario: 80 = 0.0984451770782470703125 scenario cost: 105956.59209424038999713957309722900390625 Optimization Status: 2 scenario cost: 105956.59209424038999713957309722900390625 optimization time for scenario: 81 = 0.09455585479736328125 scenario cost: 84853.71196100325323641300201416015625 Optimization Status: 2 scenario cost: 84853.71196100325323641300201416015625 optimization time for scenario: 82 = 0.091609954833984375 scenario cost: 98492.884093467189813964068889617919921875 Optimization Status: 2 scenario cost: 98492.884093467189813964068889617919921875 optimization time for scenario: 83 = 0.0985128879547119140625 scenario cost: 88498.987513834726996719837188720703125 Optimization Status: 2 scenario cost: 88498.987513834726996719837188720703125 optimization time for scenario: 84 = 0.1059601306915283203125 scenario cost: 95689.511058633754146285355091094970703125 Optimization Status: 2 scenario cost: 95689.511058633754146285355091094970703125 optimization time for scenario: 85 = 0.099792957305908203125 scenario cost: 102402.02722037109197117388248443603515625 Optimization Status: 2 scenario cost: 102402.02722037109197117388248443603515625 optimization time for scenario: 86 = 0.0966370105743408203125 scenario cost: 87111.241634610225446522235870361328125 Optimization Status: 2 scenario cost: 87111.241634610225446522235870361328125 optimization time for scenario: 87 = 0.0985400676727294921875 scenario cost: 85060.78202360309660434722900390625 Optimization Status: 2 scenario cost: 85060.78202360309660434722900390625 optimization time for scenario: 88 = 0.0827248096466064453125 scenario cost: 85516.20140657192678190767765045166015625 Optimization Status: 2 scenario cost: 85516.20140657192678190767765045166015625 optimization time for scenario: 89 = 0.1016581058502197265625 scenario cost: 95411.053459106726222671568393707275390625 Optimization Status: 2 scenario cost: 95411.053459106726222671568393707275390625 optimization time for scenario: 90 = 0.0867679119110107421875 scenario cost: 93159.79830072377808392047882080078125 Optimization Status: 2 scenario cost: 93159.79830072377808392047882080078125 optimization time for scenario: 91 = 0.04549694061279296875 scenario cost: 92024.812784645138890482485294342041015625 Optimization Status: 2 scenario cost: 92024.812784645138890482485294342041015625 optimization time for scenario: 92 = 0.0487020015716552734375 scenario cost: 108026.62689690222032368183135986328125 Optimization Status: 2 scenario cost: 108026.62689690222032368183135986328125 optimization time for scenario: 93 = 0.045816898345947265625 scenario cost: 96808.22557326612877659499645233154296875 Optimization Status: 2 scenario cost: 96808.22557326612877659499645233154296875 optimization time for scenario: 94 = 0.04668712615966796875 scenario cost: 95138.5232835821225307881832122802734375 Optimization Status: 2 scenario cost: 95138.5232835821225307881832122802734375 optimization time for scenario: 95 = 0.045859813690185546875 scenario cost: 88736.284027657718979753553867340087890625 Optimization Status: 2 scenario cost: 88736.284027657718979753553867340087890625 optimization time for scenario: 96 = 0.04561710357666015625 scenario cost: 94570.346664284428698010742664337158203125 Optimization Status: 2 scenario cost: 94570.346664284428698010742664337158203125 optimization time for scenario: 97 = 0.04129791259765625 scenario cost: 98193.699170836931443773210048675537109375 Optimization Status: 2 scenario cost: 98193.699170836931443773210048675537109375 optimization time for scenario: 98 = 0.0291368961334228515625 scenario cost: 99624.64401459213695488870143890380859375 Optimization Status: 2 scenario cost: 99624.64401459213695488870143890380859375 optimization time for scenario: 99 = 0.0273721218109130859375 Sending cuts of back to the stg 1 solver Objective Value 15696.420357601813520886935293674468994140625 memory usage: 112228920 received node: gen cut: Rental Cost 0 scenario cost: 83289.068074352064286358654499053955078125 Optimization Status: 2 scenario cost: 83289.068074352064286358654499053955078125 optimization time for scenario: 0 = 0.0695350170135498046875 scenario cost: 89592.2445492699625901877880096435546875 Optimization Status: 2 scenario cost: 89592.2445492699625901877880096435546875 optimization time for scenario: 1 = 0.123694896697998046875 scenario cost: 93857.41939346047001890838146209716796875 Optimization Status: 2 scenario cost: 93857.41939346047001890838146209716796875 optimization time for scenario: 2 = 0.1089541912078857421875 scenario cost: 94218.1568174065905623137950897216796875 Optimization Status: 2 scenario cost: 94218.1568174065905623137950897216796875 optimization time for scenario: 3 = 0.1328561305999755859375 scenario cost: 100512.875170150189660489559173583984375 Optimization Status: 2 scenario cost: 100512.875170150189660489559173583984375 optimization time for scenario: 4 = 0.105052947998046875 scenario cost: 104330.64042579871602356433868408203125 Optimization Status: 2 scenario cost: 104330.64042579871602356433868408203125 optimization time for scenario: 5 = 0.11489200592041015625 scenario cost: 90582.05380711960606276988983154296875 Optimization Status: 2 scenario cost: 90582.05380711960606276988983154296875 optimization time for scenario: 6 = 0.106979846954345703125 scenario cost: 91032.259380523857544176280498504638671875 Optimization Status: 2 scenario cost: 91032.259380523857544176280498504638671875 optimization time for scenario: 7 = 0.1037790775299072265625 scenario cost: 83293.25373673686408437788486480712890625 Optimization Status: 2 scenario cost: 83293.25373673686408437788486480712890625 optimization time for scenario: 8 = 0.1312210559844970703125 scenario cost: 100869.825963274735840968787670135498046875 Optimization Status: 2 scenario cost: 100869.825963274735840968787670135498046875 optimization time for scenario: 9 = 0.130278110504150390625 scenario cost: 91459.157933352093095891177654266357421875 Optimization Status: 2 scenario cost: 91459.157933352093095891177654266357421875 optimization time for scenario: 10 = 0.05453395843505859375 scenario cost: 77159.101719063517521135509014129638671875 Optimization Status: 2 scenario cost: 77159.101719063517521135509014129638671875 optimization time for scenario: 11 = 0.058104991912841796875 scenario cost: 95727.41496846530935727059841156005859375 Optimization Status: 2 scenario cost: 95727.41496846530935727059841156005859375 optimization time for scenario: 12 = 0.052616119384765625 scenario cost: 92152.83339064591564238071441650390625 Optimization Status: 2 scenario cost: 92152.83339064591564238071441650390625 optimization time for scenario: 13 = 0.1014449596405029296875 scenario cost: 91218.878117463915259577333927154541015625 Optimization Status: 2 scenario cost: 91218.878117463915259577333927154541015625 optimization time for scenario: 14 = 0.10869503021240234375 scenario cost: 105378.2433788490598089993000030517578125 Optimization Status: 2 scenario cost: 105378.2433788490598089993000030517578125 optimization time for scenario: 15 = 0.054874897003173828125 scenario cost: 89272.654414662276394665241241455078125 Optimization Status: 2 scenario cost: 89272.654414662276394665241241455078125 optimization time for scenario: 16 = 0.0548989772796630859375 scenario cost: 86599.98188676926656626164913177490234375 Optimization Status: 2 scenario cost: 86599.98188676926656626164913177490234375 optimization time for scenario: 17 = 0.052216053009033203125 scenario cost: 106650.381097238787333481013774871826171875 Optimization Status: 2 scenario cost: 106650.381097238787333481013774871826171875 optimization time for scenario: 18 = 0.0395660400390625 scenario cost: 92049.29185049267834983766078948974609375 Optimization Status: 2 scenario cost: 92049.29185049267834983766078948974609375 optimization time for scenario: 19 = 0.033702850341796875 Sending cuts of back to the stg 1 solver Objective Value 15493.652492434595842496491968631744384765625 memory usage: 112230440 received node: gen cut: Rental Cost 0 scenario cost: 103307.6527065408299677073955535888671875 Optimization Status: 2 scenario cost: 103307.6527065408299677073955535888671875 optimization time for scenario: 100 = 0.051475048065185546875 scenario cost: 108096.3444192425231449306011199951171875 Optimization Status: 2 scenario cost: 108096.3444192425231449306011199951171875 optimization time for scenario: 101 = 0.096157073974609375 scenario cost: 87108.699750943240360356867313385009765625 Optimization Status: 2 scenario cost: 87108.699750943240360356867313385009765625 optimization time for scenario: 102 = 0.1172559261322021484375 scenario cost: 94201.8154363273642957210540771484375 Optimization Status: 2 scenario cost: 94201.8154363273642957210540771484375 optimization time for scenario: 103 = 0.120378971099853515625 scenario cost: 90280.075989832970662973821163177490234375 Optimization Status: 2 scenario cost: 90280.075989832970662973821163177490234375 optimization time for scenario: 104 = 0.1005661487579345703125 scenario cost: 103425.056057950932881794869899749755859375 Optimization Status: 2 scenario cost: 103425.056057950932881794869899749755859375 optimization time for scenario: 105 = 0.0999851226806640625 scenario cost: 83430.864557896784390322864055633544921875 Optimization Status: 2 scenario cost: 83430.864557896784390322864055633544921875 optimization time for scenario: 106 = 0.10762500762939453125 scenario cost: 98200.88102473565959371626377105712890625 Optimization Status: 2 scenario cost: 98200.88102473565959371626377105712890625 optimization time for scenario: 107 = 0.10309886932373046875 scenario cost: 111331.0461426574620418250560760498046875 Optimization Status: 2 scenario cost: 111331.0461426574620418250560760498046875 optimization time for scenario: 108 = 0.1114728450775146484375 scenario cost: 96717.462362488891812972724437713623046875 Optimization Status: 2 scenario cost: 96717.462362488891812972724437713623046875 optimization time for scenario: 109 = 0.112329959869384765625 scenario cost: 94374.874606037396006286144256591796875 Optimization Status: 2 scenario cost: 94374.874606037396006286144256591796875 optimization time for scenario: 110 = 0.08080196380615234375 scenario cost: 96405.268087603268213570117950439453125 Optimization Status: 2 scenario cost: 96405.268087603268213570117950439453125 optimization time for scenario: 111 = 0.0535900592803955078125 scenario cost: 89650.84969020888092927634716033935546875 Optimization Status: 2 scenario cost: 89650.84969020888092927634716033935546875 optimization time for scenario: 112 = 0.059071063995361328125 scenario cost: 102412.45369327464140951633453369140625 Optimization Status: 2 scenario cost: 102412.45369327464140951633453369140625 optimization time for scenario: 113 = 0.0564849376678466796875 scenario cost: 87200.509784160603885538876056671142578125 Optimization Status: 2 scenario cost: 87200.509784160603885538876056671142578125 optimization time for scenario: 114 = 0.0550200939178466796875 scenario cost: 90444.663305068839690648019313812255859375 Optimization Status: 2 scenario cost: 90444.663305068839690648019313812255859375 optimization time for scenario: 115 = 0.0557210445404052734375 scenario cost: 97346.40962853966630063951015472412109375 Optimization Status: 2 scenario cost: 97346.40962853966630063951015472412109375 optimization time for scenario: 116 = 0.0531518459320068359375 scenario cost: 92215.3744995724991895258426666259765625 Optimization Status: 2 scenario cost: 92215.3744995724991895258426666259765625 optimization time for scenario: 117 = 0.05336093902587890625 scenario cost: 91136.721156716928817331790924072265625 Optimization Status: 2 scenario cost: 91136.721156716928817331790924072265625 optimization time for scenario: 118 = 0.0549290180206298828125 scenario cost: 88911.123597403478925116360187530517578125 Optimization Status: 2 scenario cost: 88911.123597403478925116360187530517578125 optimization time for scenario: 119 = 0.04562091827392578125 Sending cuts of back to the stg 1 solver Objective Value 15884.92101420514154597185552120208740234375 memory usage: 112231800 received node: gen cut: Rental Cost 0 scenario cost: 83751.3116110837436281144618988037109375 Optimization Status: 2 scenario cost: 83751.3116110837436281144618988037109375 optimization time for scenario: 40 = 0.0976550579071044921875 scenario cost: 99864.462501509886351414024829864501953125 Optimization Status: 2 scenario cost: 99864.462501509886351414024829864501953125 optimization time for scenario: 41 = 0.05448818206787109375 scenario cost: 87513.77530370719614438712596893310546875 Optimization Status: 2 scenario cost: 87513.77530370719614438712596893310546875 optimization time for scenario: 42 = 0.0516588687896728515625 scenario cost: 81128.159938178956508636474609375 Optimization Status: 2 scenario cost: 81128.159938178956508636474609375 optimization time for scenario: 43 = 0.0750789642333984375 scenario cost: 104547.2481731672887690365314483642578125 Optimization Status: 2 scenario cost: 104547.2481731672887690365314483642578125 optimization time for scenario: 44 = 0.111237049102783203125 scenario cost: 85536.25406366903916932642459869384765625 Optimization Status: 2 scenario cost: 85536.25406366903916932642459869384765625 optimization time for scenario: 45 = 0.108661174774169921875 scenario cost: 88451.859227461056434549391269683837890625 Optimization Status: 2 scenario cost: 88451.859227461056434549391269683837890625 optimization time for scenario: 46 = 0.108045101165771484375 scenario cost: 98490.819911450540530495345592498779296875 Optimization Status: 2 scenario cost: 98490.819911450540530495345592498779296875 optimization time for scenario: 47 = 0.0510909557342529296875 scenario cost: 94156.25646268072887323796749114990234375 Optimization Status: 2 scenario cost: 94156.25646268072887323796749114990234375 optimization time for scenario: 48 = 0.106936931610107421875 scenario cost: 87987.10281043921713717281818389892578125 Optimization Status: 2 scenario cost: 87987.10281043921713717281818389892578125 optimization time for scenario: 49 = 0.0648558139801025390625 scenario cost: 74904.707496629926026798784732818603515625 Optimization Status: 2 scenario cost: 74904.707496629926026798784732818603515625 optimization time for scenario: 50 = 0.089305877685546875 scenario cost: 107570.351174793089739978313446044921875 Optimization Status: 2 scenario cost: 107570.351174793089739978313446044921875 optimization time for scenario: 51 = 0.1066629886627197265625 scenario cost: 80963.42961278642178513109683990478515625 Optimization Status: 2 scenario cost: 80963.42961278642178513109683990478515625 optimization time for scenario: 52 = 0.1024010181427001953125 scenario cost: 77267.212661425801343284547328948974609375 Optimization Status: 2 scenario cost: 77267.212661425801343284547328948974609375 optimization time for scenario: 53 = 0.1087849140167236328125 scenario cost: 76958.101089749150560237467288970947265625 Optimization Status: 2 scenario cost: 76958.101089749150560237467288970947265625 optimization time for scenario: 54 = 0.0569460391998291015625 scenario cost: 79907.453985006388393230736255645751953125 Optimization Status: 2 scenario cost: 79907.453985006388393230736255645751953125 optimization time for scenario: 55 = 0.0590741634368896484375 scenario cost: 87465.8114428495173342525959014892578125 Optimization Status: 2 scenario cost: 87465.8114428495173342525959014892578125 optimization time for scenario: 56 = 0.0571119785308837890625 scenario cost: 89592.549612522940151393413543701171875 Optimization Status: 2 scenario cost: 89592.549612522940151393413543701171875 optimization time for scenario: 57 = 0.0580871105194091796875 scenario cost: 90164.8663900779210962355136871337890625 Optimization Status: 2 scenario cost: 90164.8663900779210962355136871337890625 optimization time for scenario: 58 = 0.0568521022796630859375 scenario cost: 98122.396256543943309225142002105712890625 Optimization Status: 2 scenario cost: 98122.396256543943309225142002105712890625 optimization time for scenario: 59 = 0.0432589054107666015625 Sending cuts of back to the stg 1 solver Objective Value 14786.14193624344989075325429439544677734375 memory usage: 112233480 received node: gen cut: Rental Cost 0 scenario cost: 84861.04078689435846172273159027099609375 Optimization Status: 2 scenario cost: 84861.04078689435846172273159027099609375 optimization time for scenario: 40 = 0.0954802036285400390625 scenario cost: 101285.321445919733378104865550994873046875 Optimization Status: 2 scenario cost: 101285.321445919733378104865550994873046875 optimization time for scenario: 41 = 0.0653629302978515625 scenario cost: 88717.3336327467695809900760650634765625 Optimization Status: 2 scenario cost: 88717.3336327467695809900760650634765625 optimization time for scenario: 42 = 0.05090999603271484375 scenario cost: 82379.40620045285322703421115875244140625 Optimization Status: 2 scenario cost: 82379.40620045285322703421115875244140625 optimization time for scenario: 43 = 0.0493028163909912109375 scenario cost: 106605.603009068130631931126117706298828125 Optimization Status: 2 scenario cost: 106605.603009068130631931126117706298828125 optimization time for scenario: 44 = 0.050076007843017578125 scenario cost: 86385.4043706398806534707546234130859375 Optimization Status: 2 scenario cost: 86385.4043706398806534707546234130859375 optimization time for scenario: 45 = 0.0483591556549072265625 scenario cost: 88331.855038513356703333556652069091796875 Optimization Status: 2 scenario cost: 88331.855038513356703333556652069091796875 optimization time for scenario: 46 = 0.049598217010498046875 scenario cost: 101557.80530708873993717133998870849609375 Optimization Status: 2 scenario cost: 101557.80530708873993717133998870849609375 optimization time for scenario: 47 = 0.047934055328369140625 scenario cost: 95440.436637998442165553569793701171875 Optimization Status: 2 scenario cost: 95440.436637998442165553569793701171875 optimization time for scenario: 48 = 0.050281047821044921875 scenario cost: 89228.585667228951933793723583221435546875 Optimization Status: 2 scenario cost: 89228.585667228951933793723583221435546875 optimization time for scenario: 49 = 0.04775905609130859375 scenario cost: 74946.736988638076581992208957672119140625 Optimization Status: 2 scenario cost: 74946.736988638076581992208957672119140625 optimization time for scenario: 50 = 0.0520918369293212890625 scenario cost: 111413.208314014555071480572223663330078125 Optimization Status: 2 scenario cost: 111413.208314014555071480572223663330078125 optimization time for scenario: 51 = 0.0487499237060546875 scenario cost: 81971.35180514215608127415180206298828125 Optimization Status: 2 scenario cost: 81971.35180514215608127415180206298828125 optimization time for scenario: 52 = 0.049582958221435546875 scenario cost: 78367.974837804809794761240482330322265625 Optimization Status: 2 scenario cost: 78367.974837804809794761240482330322265625 optimization time for scenario: 53 = 0.0489289760589599609375 scenario cost: 76160.661013172357343137264251708984375 Optimization Status: 2 scenario cost: 76160.661013172357343137264251708984375 optimization time for scenario: 54 = 0.04827594757080078125 scenario cost: 82153.365481491360696963965892791748046875 Optimization Status: 2 scenario cost: 82153.365481491360696963965892791748046875 optimization time for scenario: 55 = 0.0465590953826904296875 scenario cost: 86761.195144747893209569156169891357421875 Optimization Status: 2 scenario cost: 86761.195144747893209569156169891357421875 optimization time for scenario: 56 = 0.0503118038177490234375 scenario cost: 90665.201145082130096852779388427734375 Optimization Status: 2 scenario cost: 90665.201145082130096852779388427734375 optimization time for scenario: 57 = 0.0504629611968994140625 scenario cost: 91371.690820830946904607117176055908203125 Optimization Status: 2 scenario cost: 91371.690820830946904607117176055908203125 optimization time for scenario: 58 = 0.0492250919342041015625 scenario cost: 99421.498162139425403438508510589599609375 Optimization Status: 2 scenario cost: 99421.498162139425403438508510589599609375 optimization time for scenario: 59 = 0.049662113189697265625 Sending cuts of back to the stg 1 solver Objective Value 14983.487364224265547818504273891448974609375 memory usage: 112235000 received node: gen cut: Rental Cost 0 scenario cost: 89614.723571809940040111541748046875 Optimization Status: 2 scenario cost: 89614.723571809940040111541748046875 optimization time for scenario: 60 = 0.0885372161865234375 scenario cost: 74865.693952036657719872891902923583984375 Optimization Status: 2 scenario cost: 74865.693952036657719872891902923583984375 optimization time for scenario: 61 = 0.0611269474029541015625 scenario cost: 76571.05918812108575366437435150146484375 Optimization Status: 2 scenario cost: 76571.05918812108575366437435150146484375 optimization time for scenario: 62 = 0.068724155426025390625 scenario cost: 77300.35066333101713098585605621337890625 Optimization Status: 2 scenario cost: 77300.35066333101713098585605621337890625 optimization time for scenario: 63 = 0.10704803466796875 scenario cost: 91757.69632574587012641131877899169921875 Optimization Status: 2 scenario cost: 91757.69632574587012641131877899169921875 optimization time for scenario: 64 = 0.0998270511627197265625 scenario cost: 92977.926870619485271163284778594970703125 Optimization Status: 2 scenario cost: 92977.926870619485271163284778594970703125 optimization time for scenario: 65 = 0.10782718658447265625 scenario cost: 84371.111513944691978394985198974609375 Optimization Status: 2 scenario cost: 84371.111513944691978394985198974609375 optimization time for scenario: 66 = 0.0905818939208984375 scenario cost: 77733.261009338675648905336856842041015625 Optimization Status: 2 scenario cost: 77733.261009338675648905336856842041015625 optimization time for scenario: 67 = 0.10966587066650390625 scenario cost: 77576.113143285605474375188350677490234375 Optimization Status: 2 scenario cost: 77576.113143285605474375188350677490234375 optimization time for scenario: 68 = 0.105615139007568359375 scenario cost: 81586.30759310469147749245166778564453125 Optimization Status: 2 scenario cost: 81586.30759310469147749245166778564453125 optimization time for scenario: 69 = 0.09661197662353515625 scenario cost: 74841.59577233783784322440624237060546875 Optimization Status: 2 scenario cost: 74841.59577233783784322440624237060546875 optimization time for scenario: 70 = 0.1223571300506591796875 scenario cost: 96343.12303868037997744977474212646484375 Optimization Status: 2 scenario cost: 96343.12303868037997744977474212646484375 optimization time for scenario: 71 = 0.107493877410888671875 scenario cost: 90653.463951171026565134525299072265625 Optimization Status: 2 scenario cost: 90653.463951171026565134525299072265625 optimization time for scenario: 72 = 0.0971729755401611328125 scenario cost: 92440.097704057450755499303340911865234375 Optimization Status: 2 scenario cost: 92440.097704057450755499303340911865234375 optimization time for scenario: 73 = 0.0886270999908447265625 scenario cost: 78474.424098079776740632951259613037109375 Optimization Status: 2 scenario cost: 78474.424098079776740632951259613037109375 optimization time for scenario: 74 = 0.0409491062164306640625 scenario cost: 94925.9405708322883583605289459228515625 Optimization Status: 2 scenario cost: 94925.9405708322883583605289459228515625 optimization time for scenario: 75 = 0.038570880889892578125 scenario cost: 84696.260907664065598510205745697021484375 Optimization Status: 2 scenario cost: 84696.260907664065598510205745697021484375 optimization time for scenario: 76 = 0.0285298824310302734375 scenario cost: 86005.940732452712836675345897674560546875 Optimization Status: 2 scenario cost: 86005.940732452712836675345897674560546875 optimization time for scenario: 77 = 0.0303308963775634765625 scenario cost: 82072.54383521972340531647205352783203125 Optimization Status: 2 scenario cost: 82072.54383521972340531647205352783203125 optimization time for scenario: 78 = 0.0319449901580810546875 scenario cost: 79287.14342480749473907053470611572265625 Optimization Status: 2 scenario cost: 79287.14342480749473907053470611572265625 optimization time for scenario: 79 = 0.0302979946136474609375 Sending cuts of back to the stg 1 solver Objective Value 14034.06701239607718889601528644561767578125 memory usage: 112236520 received node: gen cut: Rental Cost 0 scenario cost: 80763.8031353582045994699001312255859375 Optimization Status: 2 scenario cost: 80763.8031353582045994699001312255859375 optimization time for scenario: 40 = 0.081426143646240234375 scenario cost: 96901.79144966349122114479541778564453125 Optimization Status: 2 scenario cost: 96901.79144966349122114479541778564453125 optimization time for scenario: 41 = 0.05438709259033203125 scenario cost: 84397.78068183895084075629711151123046875 Optimization Status: 2 scenario cost: 84397.78068183895084075629711151123046875 optimization time for scenario: 42 = 0.06768512725830078125 scenario cost: 78149.33293961299932561814785003662109375 Optimization Status: 2 scenario cost: 78149.33293961299932561814785003662109375 optimization time for scenario: 43 = 0.1069691181182861328125 scenario cost: 101380.17378379430738277733325958251953125 Optimization Status: 2 scenario cost: 101380.17378379430738277733325958251953125 optimization time for scenario: 44 = 0.087874889373779296875 scenario cost: 82248.451947583220317028462886810302734375 Optimization Status: 2 scenario cost: 82248.451947583220317028462886810302734375 optimization time for scenario: 45 = 0.094110965728759765625 scenario cost: 84948.39231230536825023591518402099609375 Optimization Status: 2 scenario cost: 84948.39231230536825023591518402099609375 optimization time for scenario: 46 = 0.0528919696807861328125 scenario cost: 95362.74010846691089682281017303466796875 Optimization Status: 2 scenario cost: 95362.74010846691089682281017303466796875 optimization time for scenario: 47 = 0.0494959354400634765625 scenario cost: 91252.4842331071267835795879364013671875 Optimization Status: 2 scenario cost: 91252.4842331071267835795879364013671875 optimization time for scenario: 48 = 0.051208019256591796875 scenario cost: 84988.278836911093094386160373687744140625 Optimization Status: 2 scenario cost: 84988.278836911093094386160373687744140625 optimization time for scenario: 49 = 0.047328948974609375 scenario cost: 71543.315703096915967762470245361328125 Optimization Status: 2 scenario cost: 71543.315703096915967762470245361328125 optimization time for scenario: 50 = 0.050237178802490234375 scenario cost: 104518.3352441728929989039897918701171875 Optimization Status: 2 scenario cost: 104518.3352441728929989039897918701171875 optimization time for scenario: 51 = 0.0492079257965087890625 scenario cost: 77790.287379317436716519296169281005859375 Optimization Status: 2 scenario cost: 77790.287379317436716519296169281005859375 optimization time for scenario: 52 = 0.050362110137939453125 scenario cost: 74227.60794073459692299365997314453125 Optimization Status: 2 scenario cost: 74227.60794073459692299365997314453125 optimization time for scenario: 53 = 0.05193996429443359375 scenario cost: 73844.5446259331074543297290802001953125 Optimization Status: 2 scenario cost: 73844.5446259331074543297290802001953125 optimization time for scenario: 54 = 0.0502750873565673828125 scenario cost: 76977.8590860972763039171695709228515625 Optimization Status: 2 scenario cost: 76977.8590860972763039171695709228515625 optimization time for scenario: 55 = 0.0522220134735107421875 scenario cost: 84047.075508179274038411676883697509765625 Optimization Status: 2 scenario cost: 84047.075508179274038411676883697509765625 optimization time for scenario: 56 = 0.04936981201171875 scenario cost: 86376.66705514045315794646739959716796875 Optimization Status: 2 scenario cost: 86376.66705514045315794646739959716796875 optimization time for scenario: 57 = 0.0546588897705078125 scenario cost: 87054.298226691535091958940029144287109375 Optimization Status: 2 scenario cost: 87054.298226691535091958940029144287109375 optimization time for scenario: 58 = 0.0487918853759765625 scenario cost: 95250.404422690175124444067478179931640625 Optimization Status: 2 scenario cost: 95250.404422690175124444067478179931640625 optimization time for scenario: 59 = 0.081057071685791015625 Sending cuts of back to the stg 1 solver Objective Value 14266.8064710516409832052886486053466796875 memory usage: 112237880 received node: gen cut: Rental Cost 0 scenario cost: 92476.283124610243248753249645233154296875 Optimization Status: 2 scenario cost: 92476.283124610243248753249645233154296875 optimization time for scenario: 60 = 0.0925619602203369140625 scenario cost: 77087.524227780013461597263813018798828125 Optimization Status: 2 scenario cost: 77087.524227780013461597263813018798828125 optimization time for scenario: 61 = 0.0886290073394775390625 scenario cost: 78963.853411804317147471010684967041015625 Optimization Status: 2 scenario cost: 78963.853411804317147471010684967041015625 optimization time for scenario: 62 = 0.095239162445068359375 scenario cost: 79497.865857017095549963414669036865234375 Optimization Status: 2 scenario cost: 79497.865857017095549963414669036865234375 optimization time for scenario: 63 = 0.097834110260009765625 scenario cost: 94447.746248348281369544565677642822265625 Optimization Status: 2 scenario cost: 94447.746248348281369544565677642822265625 optimization time for scenario: 64 = 0.0622780323028564453125 scenario cost: 95462.343305709378910250961780548095703125 Optimization Status: 2 scenario cost: 95462.343305709378910250961780548095703125 optimization time for scenario: 65 = 0.10173511505126953125 scenario cost: 86705.70479871096904389560222625732421875 Optimization Status: 2 scenario cost: 86705.70479871096904389560222625732421875 optimization time for scenario: 66 = 0.0890901088714599609375 scenario cost: 80096.282070053581264801323413848876953125 Optimization Status: 2 scenario cost: 80096.282070053581264801323413848876953125 optimization time for scenario: 67 = 0.0953121185302734375 scenario cost: 79927.48842616795445792376995086669921875 Optimization Status: 2 scenario cost: 79927.48842616795445792376995086669921875 optimization time for scenario: 68 = 0.09142303466796875 scenario cost: 84106.59935791845782659947872161865234375 Optimization Status: 2 scenario cost: 84106.59935791845782659947872161865234375 optimization time for scenario: 69 = 0.106082916259765625 scenario cost: 76756.93423794078989885747432708740234375 Optimization Status: 2 scenario cost: 76756.93423794078989885747432708740234375 optimization time for scenario: 70 = 0.0956668853759765625 scenario cost: 98939.909058672099490649998188018798828125 Optimization Status: 2 scenario cost: 98939.909058672099490649998188018798828125 optimization time for scenario: 71 = 0.0793559551239013671875 scenario cost: 93144.467741975546232424676418304443359375 Optimization Status: 2 scenario cost: 93144.467741975546232424676418304443359375 optimization time for scenario: 72 = 0.0466749668121337890625 scenario cost: 94087.352831077805603854358196258544921875 Optimization Status: 2 scenario cost: 94087.352831077805603854358196258544921875 optimization time for scenario: 73 = 0.04722309112548828125 scenario cost: 80599.895029372462886385619640350341796875 Optimization Status: 2 scenario cost: 80599.895029372462886385619640350341796875 optimization time for scenario: 74 = 0.0466849803924560546875 scenario cost: 97296.5022436387953348457813262939453125 Optimization Status: 2 scenario cost: 97296.5022436387953348457813262939453125 optimization time for scenario: 75 = 0.0447540283203125 scenario cost: 86368.9266267423518002033233642578125 Optimization Status: 2 scenario cost: 86368.9266267423518002033233642578125 optimization time for scenario: 76 = 0.047524929046630859375 scenario cost: 88445.422754948187503032386302947998046875 Optimization Status: 2 scenario cost: 88445.422754948187503032386302947998046875 optimization time for scenario: 77 = 0.0464341640472412109375 scenario cost: 84348.78465470459195785224437713623046875 Optimization Status: 2 scenario cost: 84348.78465470459195785224437713623046875 optimization time for scenario: 78 = 0.037108898162841796875 scenario cost: 81554.89162884428515098989009857177734375 Optimization Status: 2 scenario cost: 81554.89162884428515098989009857177734375 optimization time for scenario: 79 = 0.034823894500732421875 Sending cuts of back to the stg 1 solver Objective Value 14419.23213647438751650042831897735595703125 memory usage: 112239560 received node: gen cut: Rental Cost 0 scenario cost: 88946.55195287032984197139739990234375 Optimization Status: 2 scenario cost: 88946.55195287032984197139739990234375 optimization time for scenario: 20 = 0.1138589382171630859375 scenario cost: 78793.503445627211476676166057586669921875 Optimization Status: 2 scenario cost: 78793.503445627211476676166057586669921875 optimization time for scenario: 21 = 0.112928867340087890625 scenario cost: 79366.530179726352798752486705780029296875 Optimization Status: 2 scenario cost: 79366.530179726352798752486705780029296875 optimization time for scenario: 22 = 0.09928417205810546875 scenario cost: 88281.91295599457225762307643890380859375 Optimization Status: 2 scenario cost: 88281.91295599457225762307643890380859375 optimization time for scenario: 23 = 0.0984890460968017578125 scenario cost: 72838.377528115292079746723175048828125 Optimization Status: 2 scenario cost: 72838.377528115292079746723175048828125 optimization time for scenario: 24 = 0.1077558994293212890625 scenario cost: 88589.92368574696592986583709716796875 Optimization Status: 2 scenario cost: 88589.92368574696592986583709716796875 optimization time for scenario: 25 = 0.098269939422607421875 scenario cost: 79346.851595827130950056016445159912109375 Optimization Status: 2 scenario cost: 79346.851595827130950056016445159912109375 optimization time for scenario: 26 = 0.115725040435791015625 scenario cost: 81770.648244261436047963798046112060546875 Optimization Status: 2 scenario cost: 81770.648244261436047963798046112060546875 optimization time for scenario: 27 = 0.099749088287353515625 scenario cost: 93689.296780788674368523061275482177734375 Optimization Status: 2 scenario cost: 93689.296780788674368523061275482177734375 optimization time for scenario: 28 = 0.055200099945068359375 scenario cost: 84940.5823348032427020370960235595703125 Optimization Status: 2 scenario cost: 84940.5823348032427020370960235595703125 optimization time for scenario: 29 = 0.0508930683135986328125 scenario cost: 112183.505415962325059808790683746337890625 Optimization Status: 2 scenario cost: 112183.505415962325059808790683746337890625 optimization time for scenario: 30 = 0.0500309467315673828125 scenario cost: 90523.212295685327262617647647857666015625 Optimization Status: 2 scenario cost: 90523.212295685327262617647647857666015625 optimization time for scenario: 31 = 0.0570161342620849609375 scenario cost: 102491.68930707857361994683742523193359375 Optimization Status: 2 scenario cost: 102491.68930707857361994683742523193359375 optimization time for scenario: 32 = 0.0511510372161865234375 scenario cost: 97280.8876713807112537324428558349609375 Optimization Status: 2 scenario cost: 97280.8876713807112537324428558349609375 optimization time for scenario: 33 = 0.1087410449981689453125 scenario cost: 97495.030540973399183712899684906005859375 Optimization Status: 2 scenario cost: 97495.030540973399183712899684906005859375 optimization time for scenario: 34 = 0.1043641567230224609375 scenario cost: 91368.477985759367584250867366790771484375 Optimization Status: 2 scenario cost: 91368.477985759367584250867366790771484375 optimization time for scenario: 35 = 0.056127071380615234375 scenario cost: 77023.135140470505575649440288543701171875 Optimization Status: 2 scenario cost: 77023.135140470505575649440288543701171875 optimization time for scenario: 36 = 0.052216053009033203125 scenario cost: 85801.070449186940095387399196624755859375 Optimization Status: 2 scenario cost: 85801.070449186940095387399196624755859375 optimization time for scenario: 37 = 0.035443782806396484375 scenario cost: 94461.587781733949668705463409423828125 Optimization Status: 2 scenario cost: 94461.587781733949668705463409423828125 optimization time for scenario: 38 = 0.0312099456787109375 scenario cost: 84383.37934062504791654646396636962890625 Optimization Status: 2 scenario cost: 84383.37934062504791654646396636962890625 optimization time for scenario: 39 = 0.0308840274810791015625 Sending cuts of back to the stg 1 solver Objective Value 14746.408969399990382953546941280364990234375 memory usage: 112240920 received node: gen cut: Rental Cost 0 scenario cost: 85667.27125865934067405760288238525390625 Optimization Status: 2 scenario cost: 85667.27125865934067405760288238525390625 optimization time for scenario: 40 = 0.0950100421905517578125 scenario cost: 101798.200294234717148356139659881591796875 Optimization Status: 2 scenario cost: 101798.200294234717148356139659881591796875 optimization time for scenario: 41 = 0.1116011142730712890625 scenario cost: 89428.907429173748823814094066619873046875 Optimization Status: 2 scenario cost: 89428.907429173748823814094066619873046875 optimization time for scenario: 42 = 0.18993091583251953125 scenario cost: 83214.5119306045235134661197662353515625 Optimization Status: 2 scenario cost: 83214.5119306045235134661197662353515625 optimization time for scenario: 43 = 0.05892181396484375 scenario cost: 106443.240067505175829865038394927978515625 Optimization Status: 2 scenario cost: 106443.240067505175829865038394927978515625 optimization time for scenario: 44 = 0.0560209751129150390625 scenario cost: 87294.06537651261896826326847076416015625 Optimization Status: 2 scenario cost: 87294.06537651261896826326847076416015625 optimization time for scenario: 45 = 0.0744130611419677734375 scenario cost: 90299.659064630090142600238323211669921875 Optimization Status: 2 scenario cost: 90299.659064630090142600238323211669921875 optimization time for scenario: 46 = 0.0538761615753173828125 scenario cost: 100632.295155928819440305233001708984375 Optimization Status: 2 scenario cost: 100632.295155928819440305233001708984375 optimization time for scenario: 47 = 0.05315494537353515625 scenario cost: 96139.881425359475542791187763214111328125 Optimization Status: 2 scenario cost: 96139.881425359475542791187763214111328125 optimization time for scenario: 48 = 0.0501139163970947265625 scenario cost: 90012.885354613536037504673004150390625 Optimization Status: 2 scenario cost: 90012.885354613536037504673004150390625 optimization time for scenario: 49 = 0.0865879058837890625 scenario cost: 76544.301462261806591413915157318115234375 Optimization Status: 2 scenario cost: 76544.301462261806591413915157318115234375 optimization time for scenario: 50 = 0.1157701015472412109375 scenario cost: 110140.985180172327090986073017120361328125 Optimization Status: 2 scenario cost: 110140.985180172327090986073017120361328125 optimization time for scenario: 51 = 0.1193192005157470703125 scenario cost: 82859.835615109142963774502277374267578125 Optimization Status: 2 scenario cost: 82859.835615109142963774502277374267578125 optimization time for scenario: 52 = 0.07242488861083984375 scenario cost: 79171.257036090872134082019329071044921875 Optimization Status: 2 scenario cost: 79171.257036090872134082019329071044921875 optimization time for scenario: 53 = 0.0758030414581298828125 scenario cost: 78708.38548249003360979259014129638671875 Optimization Status: 2 scenario cost: 78708.38548249003360979259014129638671875 optimization time for scenario: 54 = 0.0869948863983154296875 scenario cost: 82166.75539688116987235844135284423828125 Optimization Status: 2 scenario cost: 82166.75539688116987235844135284423828125 optimization time for scenario: 55 = 0.06768894195556640625 scenario cost: 89206.02890539288637228310108184814453125 Optimization Status: 2 scenario cost: 89206.02890539288637228310108184814453125 optimization time for scenario: 56 = 0.0479938983917236328125 scenario cost: 91393.853133675685967318713665008544921875 Optimization Status: 2 scenario cost: 91393.853133675685967318713665008544921875 optimization time for scenario: 57 = 0.0816829204559326171875 scenario cost: 92265.237847458411124534904956817626953125 Optimization Status: 2 scenario cost: 92265.237847458411124534904956817626953125 optimization time for scenario: 58 = 0.04716396331787109375 scenario cost: 100090.752850619828677736222743988037109375 Optimization Status: 2 scenario cost: 100090.752850619828677736222743988037109375 optimization time for scenario: 59 = 0.0546321868896484375 Sending cuts of back to the stg 1 solver Objective Value 15112.258802951111647416837513446807861328125 memory usage: 112242600 received node: gen cut: Rental Cost 0 scenario cost: 85509.25579565748921595513820648193359375 Optimization Status: 2 scenario cost: 85509.25579565748921595513820648193359375 optimization time for scenario: 80 = 0.0660030841827392578125 scenario cost: 102783.715603444332373328506946563720703125 Optimization Status: 2 scenario cost: 102783.715603444332373328506946563720703125 optimization time for scenario: 81 = 0.0653040409088134765625 scenario cost: 81524.98321210287394933402538299560546875 Optimization Status: 2 scenario cost: 81524.98321210287394933402538299560546875 optimization time for scenario: 82 = 0.0799310207366943359375 scenario cost: 94516.55722438308293931186199188232421875 Optimization Status: 2 scenario cost: 94516.55722438308293931186199188232421875 optimization time for scenario: 83 = 0.15412807464599609375 scenario cost: 85722.16767909142072312533855438232421875 Optimization Status: 2 scenario cost: 85722.16767909142072312533855438232421875 optimization time for scenario: 84 = 0.1108410358428955078125 scenario cost: 91541.772520513346535153687000274658203125 Optimization Status: 2 scenario cost: 91541.772520513346535153687000274658203125 optimization time for scenario: 85 = 0.0992619991302490234375 scenario cost: 99342.619912622336414642632007598876953125 Optimization Status: 2 scenario cost: 99342.619912622336414642632007598876953125 optimization time for scenario: 86 = 0.1107540130615234375 scenario cost: 84250.086591408573440276086330413818359375 Optimization Status: 2 scenario cost: 84250.086591408573440276086330413818359375 optimization time for scenario: 87 = 0.1024849414825439453125 scenario cost: 82004.906580597264110110700130462646484375 Optimization Status: 2 scenario cost: 82004.906580597264110110700130462646484375 optimization time for scenario: 88 = 0.11151409149169921875 scenario cost: 82765.969819691425072960555553436279296875 Optimization Status: 2 scenario cost: 82765.969819691425072960555553436279296875 optimization time for scenario: 89 = 0.1088240146636962890625 scenario cost: 92363.55361867439933121204376220703125 Optimization Status: 2 scenario cost: 92363.55361867439933121204376220703125 optimization time for scenario: 90 = 0.100605010986328125 scenario cost: 90295.374855030604521743953227996826171875 Optimization Status: 2 scenario cost: 90295.374855030604521743953227996826171875 optimization time for scenario: 91 = 0.1026489734649658203125 scenario cost: 88696.722062366039608605206012725830078125 Optimization Status: 2 scenario cost: 88696.722062366039608605206012725830078125 optimization time for scenario: 92 = 0.1529998779296875 scenario cost: 105151.46625406583189032971858978271484375 Optimization Status: 2 scenario cost: 105151.46625406583189032971858978271484375 optimization time for scenario: 93 = 0.074859142303466796875 scenario cost: 93933.948314768684213049709796905517578125 Optimization Status: 2 scenario cost: 93933.948314768684213049709796905517578125 optimization time for scenario: 94 = 0.0555450916290283203125 scenario cost: 92054.14343570242635905742645263671875 Optimization Status: 2 scenario cost: 92054.14343570242635905742645263671875 optimization time for scenario: 95 = 0.044208049774169921875 scenario cost: 85830.785164707151125185191631317138671875 Optimization Status: 2 scenario cost: 85830.785164707151125185191631317138671875 optimization time for scenario: 96 = 0.031675815582275390625 scenario cost: 91770.03137490103836171329021453857421875 Optimization Status: 2 scenario cost: 91770.03137490103836171329021453857421875 optimization time for scenario: 97 = 0.033557891845703125 scenario cost: 95567.638298041580128483474254608154296875 Optimization Status: 2 scenario cost: 95567.638298041580128483474254608154296875 optimization time for scenario: 98 = 0.030663967132568359375 scenario cost: 96370.787876671296544373035430908203125 Optimization Status: 2 scenario cost: 96370.787876671296544373035430908203125 optimization time for scenario: 99 = 0.0318448543548583984375 Sending cuts of back to the stg 1 solver Objective Value 15183.243318404138335608877241611480712890625 memory usage: 112244120 received node: gen cut: Rental Cost 0 scenario cost: 88728.75342300636111758649349212646484375 Optimization Status: 2 scenario cost: 88728.75342300636111758649349212646484375 optimization time for scenario: 20 = 0.1066548824310302734375 scenario cost: 78882.87733144700177945196628570556640625 Optimization Status: 2 scenario cost: 78882.87733144700177945196628570556640625 optimization time for scenario: 21 = 0.101234912872314453125 scenario cost: 79168.66341199190355837345123291015625 Optimization Status: 2 scenario cost: 79168.66341199190355837345123291015625 optimization time for scenario: 22 = 0.1142909526824951171875 scenario cost: 88099.51409086250350810587406158447265625 Optimization Status: 2 scenario cost: 88099.51409086250350810587406158447265625 optimization time for scenario: 23 = 0.106459140777587890625 scenario cost: 72685.664783765314496122300624847412109375 Optimization Status: 2 scenario cost: 72685.664783765314496122300624847412109375 optimization time for scenario: 24 = 0.1168529987335205078125 scenario cost: 87758.264043877759831957519054412841796875 Optimization Status: 2 scenario cost: 87758.264043877759831957519054412841796875 optimization time for scenario: 25 = 0.1157848834991455078125 scenario cost: 79087.169922528017195872962474822998046875 Optimization Status: 2 scenario cost: 79087.169922528017195872962474822998046875 optimization time for scenario: 26 = 0.1433708667755126953125 scenario cost: 80951.216523603958194144070148468017578125 Optimization Status: 2 scenario cost: 80951.216523603958194144070148468017578125 optimization time for scenario: 27 = 0.1164219379425048828125 scenario cost: 93111.830988002868252806365489959716796875 Optimization Status: 2 scenario cost: 93111.830988002868252806365489959716796875 optimization time for scenario: 28 = 0.11085414886474609375 scenario cost: 84263.67787500753183849155902862548828125 Optimization Status: 2 scenario cost: 84263.67787500753183849155902862548828125 optimization time for scenario: 29 = 0.1006400585174560546875 scenario cost: 111041.556181057690992020070552825927734375 Optimization Status: 2 scenario cost: 111041.556181057690992020070552825927734375 optimization time for scenario: 30 = 0.26638698577880859375 scenario cost: 89642.912978591470164246857166290283203125 Optimization Status: 2 scenario cost: 89642.912978591470164246857166290283203125 optimization time for scenario: 31 = 0.183207035064697265625 scenario cost: 101516.28765259255305863916873931884765625 Optimization Status: 2 scenario cost: 101516.28765259255305863916873931884765625 optimization time for scenario: 32 = 0.1775820255279541015625 scenario cost: 96481.719996959160198457539081573486328125 Optimization Status: 2 scenario cost: 96481.719996959160198457539081573486328125 optimization time for scenario: 33 = 0.191338062286376953125 scenario cost: 96687.669320306624285876750946044921875 Optimization Status: 2 scenario cost: 96687.669320306624285876750946044921875 optimization time for scenario: 34 = 0.228291034698486328125 scenario cost: 90585.80518824278260581195354461669921875 Optimization Status: 2 scenario cost: 90585.80518824278260581195354461669921875 optimization time for scenario: 35 = 0.1816079616546630859375 scenario cost: 77056.809259623594698496162891387939453125 Optimization Status: 2 scenario cost: 77056.809259623594698496162891387939453125 optimization time for scenario: 36 = 0.1430499553680419921875 scenario cost: 85265.547908309337799437344074249267578125 Optimization Status: 2 scenario cost: 85265.547908309337799437344074249267578125 optimization time for scenario: 37 = 0.055950164794921875 scenario cost: 94075.970534815816790796816349029541015625 Optimization Status: 2 scenario cost: 94075.970534815816790796816349029541015625 optimization time for scenario: 38 = 0.0839931964874267578125 scenario cost: 83623.895015336907817982137203216552734375 Optimization Status: 2 scenario cost: 83623.895015336907817982137203216552734375 optimization time for scenario: 39 = 0.1723458766937255859375 Sending cuts of back to the stg 1 solver Objective Value 14655.906429722532266168855130672454833984375 memory usage: 112245640 received node: gen cut: Rental Cost 0 scenario cost: 84494.95422973539098165929317474365234375 Optimization Status: 2 scenario cost: 84494.95422973539098165929317474365234375 optimization time for scenario: 40 = 0.2795479297637939453125 scenario cost: 100282.210852928590611554682254791259765625 Optimization Status: 2 scenario cost: 100282.210852928590611554682254791259765625 optimization time for scenario: 41 = 0.1787860393524169921875 scenario cost: 87852.532066998406662605702877044677734375 Optimization Status: 2 scenario cost: 87852.532066998406662605702877044677734375 optimization time for scenario: 42 = 0.179808139801025390625 scenario cost: 81932.344063996526529081165790557861328125 Optimization Status: 2 scenario cost: 81932.344063996526529081165790557861328125 optimization time for scenario: 43 = 0.1110751628875732421875 scenario cost: 105028.981577173806726932525634765625 Optimization Status: 2 scenario cost: 105028.981577173806726932525634765625 optimization time for scenario: 44 = 0.0671329498291015625 scenario cost: 86022.594647374658961780369281768798828125 Optimization Status: 2 scenario cost: 86022.594647374658961780369281768798828125 optimization time for scenario: 45 = 0.0927851200103759765625 scenario cost: 88907.057125397914205677807331085205078125 Optimization Status: 2 scenario cost: 88907.057125397914205677807331085205078125 optimization time for scenario: 46 = 0.3055851459503173828125 scenario cost: 98944.818662042627693153917789459228515625 Optimization Status: 2 scenario cost: 98944.818662042627693153917789459228515625 optimization time for scenario: 47 = 0.0949370861053466796875 scenario cost: 94612.618262966410838998854160308837890625 Optimization Status: 2 scenario cost: 94612.618262966410838998854160308837890625 optimization time for scenario: 48 = 0.0887210369110107421875 scenario cost: 88516.061232644016854465007781982421875 Optimization Status: 2 scenario cost: 88516.061232644016854465007781982421875 optimization time for scenario: 49 = 0.0625059604644775390625 scenario cost: 75300.26258188448264263570308685302734375 Optimization Status: 2 scenario cost: 75300.26258188448264263570308685302734375 optimization time for scenario: 50 = 0.0552909374237060546875 scenario cost: 108287.708661462660529650747776031494140625 Optimization Status: 2 scenario cost: 108287.708661462660529650747776031494140625 optimization time for scenario: 51 = 0.055037975311279296875 scenario cost: 81562.48133716962183825671672821044921875 Optimization Status: 2 scenario cost: 81562.48133716962183825671672821044921875 optimization time for scenario: 52 = 0.0522239208221435546875 scenario cost: 77965.538151014290633611381053924560546875 Optimization Status: 2 scenario cost: 77965.538151014290633611381053924560546875 optimization time for scenario: 53 = 0.0916211605072021484375 scenario cost: 77501.6394961592741310596466064453125 Optimization Status: 2 scenario cost: 77501.6394961592741310596466064453125 optimization time for scenario: 54 = 0.0661971569061279296875 scenario cost: 80904.418927775652264244854450225830078125 Optimization Status: 2 scenario cost: 80904.418927775652264244854450225830078125 optimization time for scenario: 55 = 0.12415981292724609375 scenario cost: 87924.68704714163322933018207550048828125 Optimization Status: 2 scenario cost: 87924.68704714163322933018207550048828125 optimization time for scenario: 56 = 0.164164066314697265625 scenario cost: 90113.725684103337698616087436676025390625 Optimization Status: 2 scenario cost: 90113.725684103337698616087436676025390625 optimization time for scenario: 57 = 0.0553290843963623046875 scenario cost: 90762.488959721566061489284038543701171875 Optimization Status: 2 scenario cost: 90762.488959721566061489284038543701171875 optimization time for scenario: 58 = 0.0487060546875 scenario cost: 98954.752553604354034177958965301513671875 Optimization Status: 2 scenario cost: 98954.752553604354034177958965301513671875 optimization time for scenario: 59 = 0.055243968963623046875 Sending cuts of back to the stg 1 solver Objective Value 14882.2061052815915900282561779022216796875 memory usage: 112247160 received node: gen cut: Rental Cost 0 scenario cost: 88457.748847271708655171096324920654296875 Optimization Status: 2 scenario cost: 88457.748847271708655171096324920654296875 optimization time for scenario: 20 = 0.0566120147705078125 scenario cost: 78323.216709911823272705078125 Optimization Status: 2 scenario cost: 78323.216709911823272705078125 optimization time for scenario: 21 = 0.05280303955078125 scenario cost: 78530.0772191518335603177547454833984375 Optimization Status: 2 scenario cost: 78530.0772191518335603177547454833984375 optimization time for scenario: 22 = 0.088778972625732421875 scenario cost: 87425.47680025143199600279331207275390625 Optimization Status: 2 scenario cost: 87425.47680025143199600279331207275390625 optimization time for scenario: 23 = 0.109901905059814453125 scenario cost: 71995.26574669682304374873638153076171875 Optimization Status: 2 scenario cost: 71995.26574669682304374873638153076171875 optimization time for scenario: 24 = 0.11802196502685546875 scenario cost: 88434.54550267546437680721282958984375 Optimization Status: 2 scenario cost: 88434.54550267546437680721282958984375 optimization time for scenario: 25 = 0.05426692962646484375 scenario cost: 78348.7089586338843218982219696044921875 Optimization Status: 2 scenario cost: 78348.7089586338843218982219696044921875 optimization time for scenario: 26 = 0.0558249950408935546875 scenario cost: 81571.105516431984142400324344635009765625 Optimization Status: 2 scenario cost: 81571.105516431984142400324344635009765625 optimization time for scenario: 27 = 0.051105022430419921875 scenario cost: 93822.15583224003785289824008941650390625 Optimization Status: 2 scenario cost: 93822.15583224003785289824008941650390625 optimization time for scenario: 28 = 0.0605480670928955078125 scenario cost: 85030.724580670983414165675640106201171875 Optimization Status: 2 scenario cost: 85030.724580670983414165675640106201171875 optimization time for scenario: 29 = 0.0518529415130615234375 scenario cost: 113080.519770455663092434406280517578125 Optimization Status: 2 scenario cost: 113080.519770455663092434406280517578125 optimization time for scenario: 30 = 0.0558378696441650390625 scenario cost: 90308.433786452325875870883464813232421875 Optimization Status: 2 scenario cost: 90308.433786452325875870883464813232421875 optimization time for scenario: 31 = 0.0522739887237548828125 scenario cost: 102459.3061468534287996590137481689453125 Optimization Status: 2 scenario cost: 102459.3061468534287996590137481689453125 optimization time for scenario: 32 = 0.0552709102630615234375 scenario cost: 97152.29674150262144394218921661376953125 Optimization Status: 2 scenario cost: 97152.29674150262144394218921661376953125 optimization time for scenario: 33 = 0.0525341033935546875 scenario cost: 98166.028906401785206981003284454345703125 Optimization Status: 2 scenario cost: 98166.028906401785206981003284454345703125 optimization time for scenario: 34 = 0.054153919219970703125 scenario cost: 91126.05498230303055606782436370849609375 Optimization Status: 2 scenario cost: 91126.05498230303055606782436370849609375 optimization time for scenario: 35 = 0.05263805389404296875 scenario cost: 76576.45315166041837073862552642822265625 Optimization Status: 2 scenario cost: 76576.45315166041837073862552642822265625 optimization time for scenario: 36 = 0.053737163543701171875 scenario cost: 85913.181071212500683031976222991943359375 Optimization Status: 2 scenario cost: 85913.181071212500683031976222991943359375 optimization time for scenario: 37 = 0.0534970760345458984375 scenario cost: 94772.655854894794174470007419586181640625 Optimization Status: 2 scenario cost: 94772.655854894794174470007419586181640625 optimization time for scenario: 38 = 0.056618213653564453125 scenario cost: 84249.583902341182692907750606536865234375 Optimization Status: 2 scenario cost: 84249.583902341182692907750606536865234375 optimization time for scenario: 39 = 0.109814167022705078125 Sending cuts of back to the stg 1 solver Objective Value 14714.470642115446025854907929897308349609375 memory usage: 112248520 received node: gen cut: Rental Cost 0 scenario cost: 92631.833610725749167613685131072998046875 Optimization Status: 2 scenario cost: 92631.833610725749167613685131072998046875 optimization time for scenario: 60 = 0.096889972686767578125 scenario cost: 76332.141906554068555124104022979736328125 Optimization Status: 2 scenario cost: 76332.141906554068555124104022979736328125 optimization time for scenario: 61 = 0.1089918613433837890625 scenario cost: 78121.879532976890914142131805419921875 Optimization Status: 2 scenario cost: 78121.879532976890914142131805419921875 optimization time for scenario: 62 = 0.089253902435302734375 scenario cost: 78440.29049871486495248973369598388671875 Optimization Status: 2 scenario cost: 78440.29049871486495248973369598388671875 optimization time for scenario: 63 = 0.0578517913818359375 scenario cost: 93055.762199917240650393068790435791015625 Optimization Status: 2 scenario cost: 93055.762199917240650393068790435791015625 optimization time for scenario: 64 = 0.105926990509033203125 scenario cost: 94333.892249191630980931222438812255859375 Optimization Status: 2 scenario cost: 94333.892249191630980931222438812255859375 optimization time for scenario: 65 = 0.12092304229736328125 scenario cost: 85768.57219748548232018947601318359375 Optimization Status: 2 scenario cost: 85768.57219748548232018947601318359375 optimization time for scenario: 66 = 0.1006929874420166015625 scenario cost: 79265.101124867491307668387889862060546875 Optimization Status: 2 scenario cost: 79265.101124867491307668387889862060546875 optimization time for scenario: 67 = 0.093286991119384765625 scenario cost: 79007.79589813746861182153224945068359375 Optimization Status: 2 scenario cost: 79007.79589813746861182153224945068359375 optimization time for scenario: 68 = 0.1254551410675048828125 scenario cost: 82856.7600886778091080486774444580078125 Optimization Status: 2 scenario cost: 82856.7600886778091080486774444580078125 optimization time for scenario: 69 = 0.127768993377685546875 scenario cost: 74936.68616530214785598218441009521484375 Optimization Status: 2 scenario cost: 74936.68616530214785598218441009521484375 optimization time for scenario: 70 = 0.0801298618316650390625 scenario cost: 97800.809629393625073134899139404296875 Optimization Status: 2 scenario cost: 97800.809629393625073134899139404296875 optimization time for scenario: 71 = 0.0609490871429443359375 scenario cost: 92161.560167245319462381303310394287109375 Optimization Status: 2 scenario cost: 92161.560167245319462381303310394287109375 optimization time for scenario: 72 = 0.0545170307159423828125 scenario cost: 93129.8811116743017919361591339111328125 Optimization Status: 2 scenario cost: 93129.8811116743017919361591339111328125 optimization time for scenario: 73 = 0.05761814117431640625 scenario cost: 79757.323470333460136316716670989990234375 Optimization Status: 2 scenario cost: 79757.323470333460136316716670989990234375 optimization time for scenario: 74 = 0.0526411533355712890625 scenario cost: 96409.9618824892677366733551025390625 Optimization Status: 2 scenario cost: 96409.9618824892677366733551025390625 optimization time for scenario: 75 = 0.0511009693145751953125 scenario cost: 84876.9095242965850047767162322998046875 Optimization Status: 2 scenario cost: 84876.9095242965850047767162322998046875 optimization time for scenario: 76 = 0.0609798431396484375 scenario cost: 87424.97345655012759380042552947998046875 Optimization Status: 2 scenario cost: 87424.97345655012759380042552947998046875 optimization time for scenario: 77 = 0.054111003875732421875 scenario cost: 83430.198278358308016322553157806396484375 Optimization Status: 2 scenario cost: 83430.198278358308016322553157806396484375 optimization time for scenario: 78 = 0.057426929473876953125 scenario cost: 80630.608970124056213535368442535400390625 Optimization Status: 2 scenario cost: 80630.608970124056213535368442535400390625 optimization time for scenario: 79 = 0.0575840473175048828125 Sending cuts of back to the stg 1 solver Objective Value 14253.050837260399930528365075588226318359375 memory usage: 112250040 received node: gen cut: Rental Cost 0 scenario cost: 83532.734548671098309569060802459716796875 Optimization Status: 2 scenario cost: 83532.734548671098309569060802459716796875 optimization time for scenario: 80 = 0.0584089756011962890625 scenario cost: 99950.79006690517417155206203460693359375 Optimization Status: 2 scenario cost: 99950.79006690517417155206203460693359375 optimization time for scenario: 81 = 0.05103206634521484375 scenario cost: 79563.743015673695481382310390472412109375 Optimization Status: 2 scenario cost: 79563.743015673695481382310390472412109375 optimization time for scenario: 82 = 0.05413913726806640625 scenario cost: 92563.547516453705611638724803924560546875 Optimization Status: 2 scenario cost: 92563.547516453705611638724803924560546875 optimization time for scenario: 83 = 0.0539090633392333984375 scenario cost: 84746.85525023614172823727130889892578125 Optimization Status: 2 scenario cost: 84746.85525023614172823727130889892578125 optimization time for scenario: 84 = 0.0581910610198974609375 scenario cost: 89658.219789925802615471184253692626953125 Optimization Status: 2 scenario cost: 89658.219789925802615471184253692626953125 optimization time for scenario: 85 = 0.0582721233367919921875 scenario cost: 97267.724008819190203212201595306396484375 Optimization Status: 2 scenario cost: 97267.724008819190203212201595306396484375 optimization time for scenario: 86 = 0.053946971893310546875 scenario cost: 82323.994773576952866278588771820068359375 Optimization Status: 2 scenario cost: 82323.994773576952866278588771820068359375 optimization time for scenario: 87 = 0.058557033538818359375 scenario cost: 80009.43360536891850642859935760498046875 Optimization Status: 2 scenario cost: 80009.43360536891850642859935760498046875 optimization time for scenario: 88 = 0.054520130157470703125 scenario cost: 81670.793360126306652091443538665771484375 Optimization Status: 2 scenario cost: 81670.793360126306652091443538665771484375 optimization time for scenario: 89 = 0.052627086639404296875 scenario cost: 90671.288412347683333791792392730712890625 Optimization Status: 2 scenario cost: 90671.288412347683333791792392730712890625 optimization time for scenario: 90 = 0.053942203521728515625 scenario cost: 88248.08244626849773339927196502685546875 Optimization Status: 2 scenario cost: 88248.08244626849773339927196502685546875 optimization time for scenario: 91 = 0.0540468692779541015625 scenario cost: 86697.452067289137630723416805267333984375 Optimization Status: 2 scenario cost: 86697.452067289137630723416805267333984375 optimization time for scenario: 92 = 0.052175045013427734375 scenario cost: 103170.851175855917972512543201446533203125 Optimization Status: 2 scenario cost: 103170.851175855917972512543201446533203125 optimization time for scenario: 93 = 0.0557191371917724609375 scenario cost: 91786.592545030332985334098339080810546875 Optimization Status: 2 scenario cost: 91786.592545030332985334098339080810546875 optimization time for scenario: 94 = 0.0912311077117919921875 scenario cost: 90081.80267199431546032428741455078125 Optimization Status: 2 scenario cost: 90081.80267199431546032428741455078125 optimization time for scenario: 95 = 0.100821971893310546875 scenario cost: 84344.7637645785580389201641082763671875 Optimization Status: 2 scenario cost: 84344.7637645785580389201641082763671875 optimization time for scenario: 96 = 0.1187040805816650390625 scenario cost: 89737.393573551540612243115901947021484375 Optimization Status: 2 scenario cost: 89737.393573551540612243115901947021484375 optimization time for scenario: 97 = 0.1092488765716552734375 scenario cost: 93291.492692922314745374023914337158203125 Optimization Status: 2 scenario cost: 93291.492692922314745374023914337158203125 optimization time for scenario: 98 = 0.0736768245697021484375 scenario cost: 93876.397934432650799863040447235107421875 Optimization Status: 2 scenario cost: 93876.397934432650799863040447235107421875 optimization time for scenario: 99 = 0.0600349903106689453125 Sending cuts of back to the stg 1 solver Objective Value 14859.890170368458711891435086727142333984375 memory usage: 112251720 received node: gen cut: Rental Cost 0 scenario cost: 96638.76442474752548150718212127685546875 Optimization Status: 2 scenario cost: 96638.76442474752548150718212127685546875 optimization time for scenario: 60 = 0.108209133148193359375 scenario cost: 79571.771379953264840878546237945556640625 Optimization Status: 2 scenario cost: 79571.771379953264840878546237945556640625 optimization time for scenario: 61 = 0.117393016815185546875 scenario cost: 81378.1444602510891854763031005859375 Optimization Status: 2 scenario cost: 81378.1444602510891854763031005859375 optimization time for scenario: 62 = 0.1162221431732177734375 scenario cost: 81785.483839225853444077074527740478515625 Optimization Status: 2 scenario cost: 81785.483839225853444077074527740478515625 optimization time for scenario: 63 = 0.1133120059967041015625 scenario cost: 96998.9053272558958269655704498291015625 Optimization Status: 2 scenario cost: 96998.9053272558958269655704498291015625 optimization time for scenario: 64 = 0.124147891998291015625 scenario cost: 98064.940492354377056472003459930419921875 Optimization Status: 2 scenario cost: 98064.940492354377056472003459930419921875 optimization time for scenario: 65 = 0.1050360202789306640625 scenario cost: 89344.467941318420344032347202301025390625 Optimization Status: 2 scenario cost: 89344.467941318420344032347202301025390625 optimization time for scenario: 66 = 0.1112201213836669921875 scenario cost: 82512.068455142594757489860057830810546875 Optimization Status: 2 scenario cost: 82512.068455142594757489860057830810546875 optimization time for scenario: 67 = 0.1087138652801513671875 scenario cost: 82465.08831967585138045251369476318359375 Optimization Status: 2 scenario cost: 82465.08831967585138045251369476318359375 optimization time for scenario: 68 = 0.1173961162567138671875 scenario cost: 86596.52711354396888054907321929931640625 Optimization Status: 2 scenario cost: 86596.52711354396888054907321929931640625 optimization time for scenario: 69 = 0.1237628459930419921875 scenario cost: 78773.71239376769517548382282257080078125 Optimization Status: 2 scenario cost: 78773.71239376769517548382282257080078125 optimization time for scenario: 70 = 0.10840606689453125 scenario cost: 101453.395241004895069636404514312744140625 Optimization Status: 2 scenario cost: 101453.395241004895069636404514312744140625 optimization time for scenario: 71 = 0.117870807647705078125 scenario cost: 95916.197947536609717644751071929931640625 Optimization Status: 2 scenario cost: 95916.197947536609717644751071929931640625 optimization time for scenario: 72 = 0.1005039215087890625 scenario cost: 96519.54216718042152933776378631591796875 Optimization Status: 2 scenario cost: 96519.54216718042152933776378631591796875 optimization time for scenario: 73 = 0.0536639690399169921875 scenario cost: 83147.010682335108867846429347991943359375 Optimization Status: 2 scenario cost: 83147.010682335108867846429347991943359375 optimization time for scenario: 74 = 0.046430110931396484375 scenario cost: 99865.087999399562249891459941864013671875 Optimization Status: 2 scenario cost: 99865.087999399562249891459941864013671875 optimization time for scenario: 75 = 0.0471019744873046875 scenario cost: 88473.33808077769936062395572662353515625 Optimization Status: 2 scenario cost: 88473.33808077769936062395572662353515625 optimization time for scenario: 76 = 0.0506000518798828125 scenario cost: 90797.52821293883607722818851470947265625 Optimization Status: 2 scenario cost: 90797.52821293883607722818851470947265625 optimization time for scenario: 77 = 0.0276329517364501953125 scenario cost: 87108.723693038788042031228542327880859375 Optimization Status: 2 scenario cost: 87108.723693038788042031228542327880859375 optimization time for scenario: 78 = 0.0302579402923583984375 scenario cost: 84036.144675859410199336707592010498046875 Optimization Status: 2 scenario cost: 84036.144675859410199336707592010498046875 optimization time for scenario: 79 = 0.0287749767303466796875 Sending cuts of back to the stg 1 solver Objective Value 14845.330975499471605871804058551788330078125 memory usage: 112253240 received node: gen cut: Rental Cost 0 scenario cost: 97850.43295717015280388295650482177734375 Optimization Status: 2 scenario cost: 97850.43295717015280388295650482177734375 optimization time for scenario: 100 = 0.0895431041717529296875 scenario cost: 102636.639015731983818113803863525390625 Optimization Status: 2 scenario cost: 102636.639015731983818113803863525390625 optimization time for scenario: 101 = 0.1088907718658447265625 scenario cost: 82639.456217292856308631598949432373046875 Optimization Status: 2 scenario cost: 82639.456217292856308631598949432373046875 optimization time for scenario: 102 = 0.0592229366302490234375 scenario cost: 89529.417587438088958151638507843017578125 Optimization Status: 2 scenario cost: 89529.417587438088958151638507843017578125 optimization time for scenario: 103 = 0.093207836151123046875 scenario cost: 85837.11332783955731429159641265869140625 Optimization Status: 2 scenario cost: 85837.11332783955731429159641265869140625 optimization time for scenario: 104 = 0.13620281219482421875 scenario cost: 97536.050240835393196903169155120849609375 Optimization Status: 2 scenario cost: 97536.050240835393196903169155120849609375 optimization time for scenario: 105 = 0.1006181240081787109375 scenario cost: 78841.832817486356361769139766693115234375 Optimization Status: 2 scenario cost: 78841.832817486356361769139766693115234375 optimization time for scenario: 106 = 0.13369083404541015625 scenario cost: 93339.9394302132423035800457000732421875 Optimization Status: 2 scenario cost: 93339.9394302132423035800457000732421875 optimization time for scenario: 107 = 0.1095631122589111328125 scenario cost: 106441.065518692004843614995479583740234375 Optimization Status: 2 scenario cost: 106441.065518692004843614995479583740234375 optimization time for scenario: 108 = 0.1144421100616455078125 scenario cost: 92396.516072849117335863411426544189453125 Optimization Status: 2 scenario cost: 92396.516072849117335863411426544189453125 optimization time for scenario: 109 = 0.12561893463134765625 scenario cost: 89704.930179498551297001540660858154296875 Optimization Status: 2 scenario cost: 89704.930179498551297001540660858154296875 optimization time for scenario: 110 = 0.1275470256805419921875 scenario cost: 91806.800927293355925939977169036865234375 Optimization Status: 2 scenario cost: 91806.800927293355925939977169036865234375 optimization time for scenario: 111 = 0.1243731975555419921875 scenario cost: 84934.799781474648625589907169342041015625 Optimization Status: 2 scenario cost: 84934.799781474648625589907169342041015625 optimization time for scenario: 112 = 0.1195430755615234375 scenario cost: 98009.931511014510761015117168426513671875 Optimization Status: 2 scenario cost: 98009.931511014510761015117168426513671875 optimization time for scenario: 113 = 0.092855930328369140625 scenario cost: 82592.507585924831801094114780426025390625 Optimization Status: 2 scenario cost: 82592.507585924831801094114780426025390625 optimization time for scenario: 114 = 0.0630629062652587890625 scenario cost: 85870.730969470576383173465728759765625 Optimization Status: 2 scenario cost: 85870.730969470576383173465728759765625 optimization time for scenario: 115 = 0.0564391613006591796875 scenario cost: 92528.879524659249000251293182373046875 Optimization Status: 2 scenario cost: 92528.879524659249000251293182373046875 optimization time for scenario: 116 = 0.060060977935791015625 scenario cost: 87467.6787172067561186850070953369140625 Optimization Status: 2 scenario cost: 87467.6787172067561186850070953369140625 optimization time for scenario: 117 = 0.0960910320281982421875 scenario cost: 86411.60206980493967421352863311767578125 Optimization Status: 2 scenario cost: 86411.60206980493967421352863311767578125 optimization time for scenario: 118 = 0.081388950347900390625 scenario cost: 84385.12691629651817493140697479248046875 Optimization Status: 2 scenario cost: 84385.12691629651817493140697479248046875 optimization time for scenario: 119 = 0.045776844024658203125 Sending cuts of back to the stg 1 solver Objective Value 15089.6184026865594205446541309356689453125 memory usage: 112254600 received node: gen cut: Rental Cost 0 scenario cost: 87257.137650159551412798464298248291015625 Optimization Status: 2 scenario cost: 87257.137650159551412798464298248291015625 optimization time for scenario: 20 = 0.1521739959716796875 scenario cost: 77483.7830566118354909121990203857421875 Optimization Status: 2 scenario cost: 77483.7830566118354909121990203857421875 optimization time for scenario: 21 = 0.1047570705413818359375 scenario cost: 77674.939790486663696356117725372314453125 Optimization Status: 2 scenario cost: 77674.939790486663696356117725372314453125 optimization time for scenario: 22 = 0.089128017425537109375 scenario cost: 86939.64999872841872274875640869140625 Optimization Status: 2 scenario cost: 86939.64999872841872274875640869140625 optimization time for scenario: 23 = 0.1317880153656005859375 scenario cost: 71151.157791519202874042093753814697265625 Optimization Status: 2 scenario cost: 71151.157791519202874042093753814697265625 optimization time for scenario: 24 = 0.1068089008331298828125 scenario cost: 86458.383348049464984796941280364990234375 Optimization Status: 2 scenario cost: 86458.383348049464984796941280364990234375 optimization time for scenario: 25 = 0.1315381526947021484375 scenario cost: 77611.5402600594679825007915496826171875 Optimization Status: 2 scenario cost: 77611.5402600594679825007915496826171875 optimization time for scenario: 26 = 0.1323719024658203125 scenario cost: 79482.0372076382045634090900421142578125 Optimization Status: 2 scenario cost: 79482.0372076382045634090900421142578125 optimization time for scenario: 27 = 0.187985897064208984375 scenario cost: 91729.905068693566136062145233154296875 Optimization Status: 2 scenario cost: 91729.905068693566136062145233154296875 optimization time for scenario: 28 = 0.3163740634918212890625 scenario cost: 83139.5129394880495965480804443359375 Optimization Status: 2 scenario cost: 83139.5129394880495965480804443359375 optimization time for scenario: 29 = 0.5026218891143798828125 scenario cost: 110050.993754408074892126023769378662109375 Optimization Status: 2 scenario cost: 110050.993754408074892126023769378662109375 optimization time for scenario: 30 = 0.206406116485595703125 scenario cost: 88392.479590649236342869699001312255859375 Optimization Status: 2 scenario cost: 88392.479590649236342869699001312255859375 optimization time for scenario: 31 = 0.0686900615692138671875 scenario cost: 100068.440411006929934956133365631103515625 Optimization Status: 2 scenario cost: 100068.440411006929934956133365631103515625 optimization time for scenario: 32 = 0.225986003875732421875 scenario cost: 95083.126924182477523572742938995361328125 Optimization Status: 2 scenario cost: 95083.126924182477523572742938995361328125 optimization time for scenario: 33 = 0.1892058849334716796875 scenario cost: 95285.617248827635194174945354461669921875 Optimization Status: 2 scenario cost: 95285.617248827635194174945354461669921875 optimization time for scenario: 34 = 0.260303020477294921875 scenario cost: 89231.94242757468600757420063018798828125 Optimization Status: 2 scenario cost: 89231.94242757468600757420063018798828125 optimization time for scenario: 35 = 0.243853092193603515625 scenario cost: 75807.89286393384099937975406646728515625 Optimization Status: 2 scenario cost: 75807.89286393384099937975406646728515625 optimization time for scenario: 36 = 0.1895120143890380859375 scenario cost: 83827.95679794982424937188625335693359375 Optimization Status: 2 scenario cost: 83827.95679794982424937188625335693359375 optimization time for scenario: 37 = 0.15268993377685546875 scenario cost: 92721.1987801278592087328433990478515625 Optimization Status: 2 scenario cost: 92721.1987801278592087328433990478515625 optimization time for scenario: 38 = 0.13127994537353515625 scenario cost: 82312.815720173777663148939609527587890625 Optimization Status: 2 scenario cost: 82312.815720173777663148939609527587890625 optimization time for scenario: 39 = 0.1285641193389892578125 Sending cuts of back to the stg 1 solver Objective Value 14430.863206568517853156663477420806884765625 memory usage: 112256280 received node: gen cut: Rental Cost 0 scenario cost: 97389.426390021384577266871929168701171875 Optimization Status: 2 scenario cost: 97389.426390021384577266871929168701171875 optimization time for scenario: 100 = 0.0623929500579833984375 scenario cost: 102090.706357597096939571201801300048828125 Optimization Status: 2 scenario cost: 102090.706357597096939571201801300048828125 optimization time for scenario: 101 = 0.058971881866455078125 scenario cost: 82176.205284341354854404926300048828125 Optimization Status: 2 scenario cost: 82176.205284341354854404926300048828125 optimization time for scenario: 102 = 0.05642795562744140625 scenario cost: 88769.71094880191958509385585784912109375 Optimization Status: 2 scenario cost: 88769.71094880191958509385585784912109375 optimization time for scenario: 103 = 0.060143947601318359375 scenario cost: 85224.03334472942515276372432708740234375 Optimization Status: 2 scenario cost: 85224.03334472942515276372432708740234375 optimization time for scenario: 104 = 0.0622842311859130859375 scenario cost: 97467.891320696668117307126522064208984375 Optimization Status: 2 scenario cost: 97467.891320696668117307126522064208984375 optimization time for scenario: 105 = 0.05671787261962890625 scenario cost: 78078.421322810041601769626140594482421875 Optimization Status: 2 scenario cost: 78078.421322810041601769626140594482421875 optimization time for scenario: 106 = 0.059525966644287109375 scenario cost: 92712.846201747845043428242206573486328125 Optimization Status: 2 scenario cost: 92712.846201747845043428242206573486328125 optimization time for scenario: 107 = 0.059464931488037109375 scenario cost: 105942.090380079505848698318004608154296875 Optimization Status: 2 scenario cost: 105942.090380079505848698318004608154296875 optimization time for scenario: 108 = 0.061394214630126953125 scenario cost: 91410.441690868348814547061920166015625 Optimization Status: 2 scenario cost: 91410.441690868348814547061920166015625 optimization time for scenario: 109 = 0.0610809326171875 scenario cost: 89199.81283890546183101832866668701171875 Optimization Status: 2 scenario cost: 89199.81283890546183101832866668701171875 optimization time for scenario: 110 = 0.0571520328521728515625 scenario cost: 91168.948530087669496424496173858642578125 Optimization Status: 2 scenario cost: 91168.948530087669496424496173858642578125 optimization time for scenario: 111 = 0.071383953094482421875 scenario cost: 84211.8090751902782358229160308837890625 Optimization Status: 2 scenario cost: 84211.8090751902782358229160308837890625 optimization time for scenario: 112 = 0.070907115936279296875 scenario cost: 97439.743503066725679673254489898681640625 Optimization Status: 2 scenario cost: 97439.743503066725679673254489898681640625 optimization time for scenario: 113 = 0.0891358852386474609375 scenario cost: 81842.90553711217944510281085968017578125 Optimization Status: 2 scenario cost: 81842.90553711217944510281085968017578125 optimization time for scenario: 114 = 0.1178719997406005859375 scenario cost: 85307.33372813512687571346759796142578125 Optimization Status: 2 scenario cost: 85307.33372813512687571346759796142578125 optimization time for scenario: 115 = 0.110498905181884765625 scenario cost: 91863.729925728272064588963985443115234375 Optimization Status: 2 scenario cost: 91863.729925728272064588963985443115234375 optimization time for scenario: 116 = 0.0612690448760986328125 scenario cost: 86978.818425479359575547277927398681640625 Optimization Status: 2 scenario cost: 86978.818425479359575547277927398681640625 optimization time for scenario: 117 = 0.0556399822235107421875 scenario cost: 85676.324515154774417169392108917236328125 Optimization Status: 2 scenario cost: 85676.324515154774417169392108917236328125 optimization time for scenario: 118 = 0.0569608211517333984375 scenario cost: 83570.47691212370409630239009857177734375 Optimization Status: 2 scenario cost: 83570.47691212370409630239009857177734375 optimization time for scenario: 119 = 0.056706905364990234375 Sending cuts of back to the stg 1 solver Objective Value 14987.620684549767247517593204975128173828125 memory usage: 112257800 received node: gen cut: Rental Cost 0 scenario cost: 95051.10837703043944202363491058349609375 Optimization Status: 2 scenario cost: 95051.10837703043944202363491058349609375 optimization time for scenario: 60 = 0.065018177032470703125 scenario cost: 79072.559646017194609157741069793701171875 Optimization Status: 2 scenario cost: 79072.559646017194609157741069793701171875 optimization time for scenario: 61 = 0.074488162994384765625 scenario cost: 80863.7229429745930247008800506591796875 Optimization Status: 2 scenario cost: 80863.7229429745930247008800506591796875 optimization time for scenario: 62 = 0.065804958343505859375 scenario cost: 81617.139617656430345959961414337158203125 Optimization Status: 2 scenario cost: 81617.139617656430345959961414337158203125 optimization time for scenario: 63 = 0.062079906463623046875 scenario cost: 96592.3812312747468240559101104736328125 Optimization Status: 2 scenario cost: 96592.3812312747468240559101104736328125 optimization time for scenario: 64 = 0.0637691020965576171875 scenario cost: 97684.88182709956890903413295745849609375 Optimization Status: 2 scenario cost: 97684.88182709956890903413295745849609375 optimization time for scenario: 65 = 0.0728170871734619140625 scenario cost: 88930.512345828305114991962909698486328125 Optimization Status: 2 scenario cost: 88930.512345828305114991962909698486328125 optimization time for scenario: 66 = 0.1219921112060546875 scenario cost: 81959.986920705778175033628940582275390625 Optimization Status: 2 scenario cost: 81959.986920705778175033628940582275390625 optimization time for scenario: 67 = 0.1242921352386474609375 scenario cost: 82103.82690956140868365764617919921875 Optimization Status: 2 scenario cost: 82103.82690956140868365764617919921875 optimization time for scenario: 68 = 0.0648820400238037109375 scenario cost: 86311.97528181006782688200473785400390625 Optimization Status: 2 scenario cost: 86311.97528181006782688200473785400390625 optimization time for scenario: 69 = 0.0647518634796142578125 scenario cost: 79577.857250915069016627967357635498046875 Optimization Status: 2 scenario cost: 79577.857250915069016627967357635498046875 optimization time for scenario: 70 = 0.06773281097412109375 scenario cost: 101125.15819450360140763223171234130859375 Optimization Status: 2 scenario cost: 101125.15819450360140763223171234130859375 optimization time for scenario: 71 = 0.0623321533203125 scenario cost: 95553.387973703342140652239322662353515625 Optimization Status: 2 scenario cost: 95553.387973703342140652239322662353515625 optimization time for scenario: 72 = 0.0625169277191162109375 scenario cost: 96967.992131665931083261966705322265625 Optimization Status: 2 scenario cost: 96967.992131665931083261966705322265625 optimization time for scenario: 73 = 0.0636470317840576171875 scenario cost: 82651.153174777398817241191864013671875 Optimization Status: 2 scenario cost: 82651.153174777398817241191864013671875 optimization time for scenario: 74 = 0.064383983612060546875 scenario cost: 99633.33942454910720698535442352294921875 Optimization Status: 2 scenario cost: 99633.33942454910720698535442352294921875 optimization time for scenario: 75 = 0.0637528896331787109375 scenario cost: 89068.070790206795209087431430816650390625 Optimization Status: 2 scenario cost: 89068.070790206795209087431430816650390625 optimization time for scenario: 76 = 0.057695865631103515625 scenario cost: 90473.358902583524468354880809783935546875 Optimization Status: 2 scenario cost: 90473.358902583524468354880809783935546875 optimization time for scenario: 77 = 0.0637590885162353515625 scenario cost: 86627.536528741198708303272724151611328125 Optimization Status: 2 scenario cost: 86627.536528741198708303272724151611328125 optimization time for scenario: 78 = 0.08597087860107421875 scenario cost: 83620.99033552603214047849178314208984375 Optimization Status: 2 scenario cost: 83620.99033552603214047849178314208984375 optimization time for scenario: 79 = 0.0647079944610595703125 Sending cuts of back to the stg 1 solver Objective Value 14795.665315494761671288870275020599365234375 memory usage: 112259320 received node: gen cut: Rental Cost 0 scenario cost: 95022.17961649832432158291339874267578125 Optimization Status: 2 scenario cost: 95022.17961649832432158291339874267578125 optimization time for scenario: 60 = 0.1215050220489501953125 scenario cost: 78079.29365833502379246056079864501953125 Optimization Status: 2 scenario cost: 78079.29365833502379246056079864501953125 optimization time for scenario: 61 = 0.1049020290374755859375 scenario cost: 79853.584374070065678097307682037353515625 Optimization Status: 2 scenario cost: 79853.584374070065678097307682037353515625 optimization time for scenario: 62 = 0.10737705230712890625 scenario cost: 80312.093604188223253004252910614013671875 Optimization Status: 2 scenario cost: 80312.093604188223253004252910614013671875 optimization time for scenario: 63 = 0.10383510589599609375 scenario cost: 95087.964617139674373902380466461181640625 Optimization Status: 2 scenario cost: 95087.964617139674373902380466461181640625 optimization time for scenario: 64 = 0.1411221027374267578125 scenario cost: 96186.45613714752835221588611602783203125 Optimization Status: 2 scenario cost: 96186.45613714752835221588611602783203125 optimization time for scenario: 65 = 0.1334969997406005859375 scenario cost: 87524.53076343020075000822544097900390625 Optimization Status: 2 scenario cost: 87524.53076343020075000822544097900390625 optimization time for scenario: 66 = 0.1092369556427001953125 scenario cost: 80983.364352401156793348491191864013671875 Optimization Status: 2 scenario cost: 80983.364352401156793348491191864013671875 optimization time for scenario: 67 = 0.1144139766693115234375 scenario cost: 80768.084487737083691172301769256591796875 Optimization Status: 2 scenario cost: 80768.084487737083691172301769256591796875 optimization time for scenario: 68 = 0.1071851253509521484375 scenario cost: 84777.408489574809209443628787994384765625 Optimization Status: 2 scenario cost: 84777.408489574809209443628787994384765625 optimization time for scenario: 69 = 0.118653774261474609375 scenario cost: 76333.1855231826775707304477691650390625 Optimization Status: 2 scenario cost: 76333.1855231826775707304477691650390625 optimization time for scenario: 70 = 0.0757949352264404296875 scenario cost: 99624.813232343221898190677165985107421875 Optimization Status: 2 scenario cost: 99624.813232343221898190677165985107421875 optimization time for scenario: 71 = 0.0555019378662109375 scenario cost: 93966.98669238286674953997135162353515625 Optimization Status: 2 scenario cost: 93966.98669238286674953997135162353515625 optimization time for scenario: 72 = 0.054737091064453125 scenario cost: 94871.457147267748950980603694915771484375 Optimization Status: 2 scenario cost: 94871.457147267748950980603694915771484375 optimization time for scenario: 73 = 0.0547950267791748046875 scenario cost: 81586.183406373645993880927562713623046875 Optimization Status: 2 scenario cost: 81586.183406373645993880927562713623046875 optimization time for scenario: 74 = 0.0555870532989501953125 scenario cost: 98222.741366787813603878021240234375 Optimization Status: 2 scenario cost: 98222.741366787813603878021240234375 optimization time for scenario: 75 = 0.054499149322509765625 scenario cost: 86910.826220587579882703721523284912109375 Optimization Status: 2 scenario cost: 86910.826220587579882703721523284912109375 optimization time for scenario: 76 = 0.0456950664520263671875 scenario cost: 89259.888634656163048930466175079345703125 Optimization Status: 2 scenario cost: 89259.888634656163048930466175079345703125 optimization time for scenario: 77 = 0.0346019268035888671875 scenario cost: 85232.700543906234088353812694549560546875 Optimization Status: 2 scenario cost: 85232.700543906234088353812694549560546875 optimization time for scenario: 78 = 0.03404903411865234375 scenario cost: 82471.57040841519483365118503570556640625 Optimization Status: 2 scenario cost: 82471.57040841519483365118503570556640625 optimization time for scenario: 79 = 0.0336220264434814453125 Sending cuts of back to the stg 1 solver Objective Value 14558.902708126433935831300914287567138671875 memory usage: 112260840 received node: gen cut: Rental Cost 0 scenario cost: 87039.88578140459139831364154815673828125 Optimization Status: 2 scenario cost: 87039.88578140459139831364154815673828125 optimization time for scenario: 40 = 0.08430004119873046875 scenario cost: 103443.4457621423644013702869415283203125 Optimization Status: 2 scenario cost: 103443.4457621423644013702869415283203125 optimization time for scenario: 41 = 0.094110965728759765625 scenario cost: 90980.817163601270294748246669769287109375 Optimization Status: 2 scenario cost: 90980.817163601270294748246669769287109375 optimization time for scenario: 42 = 0.0815351009368896484375 scenario cost: 84411.358973610724206082522869110107421875 Optimization Status: 2 scenario cost: 84411.358973610724206082522869110107421875 optimization time for scenario: 43 = 0.0801479816436767578125 scenario cost: 109215.23650701381848193705081939697265625 Optimization Status: 2 scenario cost: 109215.23650701381848193705081939697265625 optimization time for scenario: 44 = 0.102219104766845703125 scenario cost: 88507.70979112203349359333515167236328125 Optimization Status: 2 scenario cost: 88507.70979112203349359333515167236328125 optimization time for scenario: 45 = 0.112884044647216796875 scenario cost: 90485.31227560926345176994800567626953125 Optimization Status: 2 scenario cost: 90485.31227560926345176994800567626953125 optimization time for scenario: 46 = 0.107160091400146484375 scenario cost: 104102.901377761852927505970001220703125 Optimization Status: 2 scenario cost: 104102.901377761852927505970001220703125 optimization time for scenario: 47 = 0.111608028411865234375 scenario cost: 97594.155435205859248526394367218017578125 Optimization Status: 2 scenario cost: 97594.155435205859248526394367218017578125 optimization time for scenario: 48 = 0.1298980712890625 scenario cost: 91483.342838206808664835989475250244140625 Optimization Status: 2 scenario cost: 91483.342838206808664835989475250244140625 optimization time for scenario: 49 = 0.11350917816162109375 scenario cost: 77164.120633889120654202997684478759765625 Optimization Status: 2 scenario cost: 77164.120633889120654202997684478759765625 optimization time for scenario: 50 = 0.1202518939971923828125 scenario cost: 113808.982131003984250128269195556640625 Optimization Status: 2 scenario cost: 113808.982131003984250128269195556640625 optimization time for scenario: 51 = 0.1026360988616943359375 scenario cost: 84375.905331243571708910167217254638671875 Optimization Status: 2 scenario cost: 84375.905331243571708910167217254638671875 optimization time for scenario: 52 = 0.0885059833526611328125 scenario cost: 80526.619289988695527426898479461669921875 Optimization Status: 2 scenario cost: 80526.619289988695527426898479461669921875 optimization time for scenario: 53 = 0.052075862884521484375 scenario cost: 77769.864374686745577491819858551025390625 Optimization Status: 2 scenario cost: 77769.864374686745577491819858551025390625 optimization time for scenario: 54 = 0.055655002593994140625 scenario cost: 84622.180167181286378763616085052490234375 Optimization Status: 2 scenario cost: 84622.180167181286378763616085052490234375 optimization time for scenario: 55 = 0.0500671863555908203125 scenario cost: 89034.548354820362874306738376617431640625 Optimization Status: 2 scenario cost: 89034.548354820362874306738376617431640625 optimization time for scenario: 56 = 0.050117969512939453125 scenario cost: 92798.109118164764367975294589996337890625 Optimization Status: 2 scenario cost: 92798.109118164764367975294589996337890625 optimization time for scenario: 57 = 0.054152965545654296875 scenario cost: 93516.73020147369243204593658447265625 Optimization Status: 2 scenario cost: 93516.73020147369243204593658447265625 optimization time for scenario: 58 = 0.055037021636962890625 scenario cost: 101415.97984916190034709870815277099609375 Optimization Status: 2 scenario cost: 101415.97984916190034709870815277099609375 optimization time for scenario: 59 = 0.034801006317138671875 Sending cuts of back to the stg 1 solver Objective Value 15352.415301403927514911629259586334228515625 memory usage: 112262360 received node: gen cut: Rental Cost 0 scenario cost: 78327.951475873807794414460659027099609375 Optimization Status: 2 scenario cost: 78327.951475873807794414460659027099609375 optimization time for scenario: 0 = 0.0635411739349365234375 scenario cost: 85349.08254477087757550179958343505859375 Optimization Status: 2 scenario cost: 85349.08254477087757550179958343505859375 optimization time for scenario: 1 = 0.05710887908935546875 scenario cost: 89649.67081103954114951193332672119140625 Optimization Status: 2 scenario cost: 89649.67081103954114951193332672119140625 optimization time for scenario: 2 = 0.106254100799560546875 scenario cost: 90114.6119885765365324914455413818359375 Optimization Status: 2 scenario cost: 90114.6119885765365324914455413818359375 optimization time for scenario: 3 = 0.1118571758270263671875 scenario cost: 96608.771090422626002691686153411865234375 Optimization Status: 2 scenario cost: 96608.771090422626002691686153411865234375 optimization time for scenario: 4 = 0.1083161830902099609375 scenario cost: 100396.78485028547584079205989837646484375 Optimization Status: 2 scenario cost: 100396.78485028547584079205989837646484375 optimization time for scenario: 5 = 0.0539982318878173828125 scenario cost: 86360.237888478310196660459041595458984375 Optimization Status: 2 scenario cost: 86360.237888478310196660459041595458984375 optimization time for scenario: 6 = 0.0579068660736083984375 scenario cost: 86734.107743493324960581958293914794921875 Optimization Status: 2 scenario cost: 86734.107743493324960581958293914794921875 optimization time for scenario: 7 = 0.0578219890594482421875 scenario cost: 79067.017659290693700313568115234375 Optimization Status: 2 scenario cost: 79067.017659290693700313568115234375 optimization time for scenario: 8 = 0.05675601959228515625 scenario cost: 96965.938320366039988584816455841064453125 Optimization Status: 2 scenario cost: 96965.938320366039988584816455841064453125 optimization time for scenario: 9 = 0.0550329685211181640625 scenario cost: 87444.5333324568928219377994537353515625 Optimization Status: 2 scenario cost: 87444.5333324568928219377994537353515625 optimization time for scenario: 10 = 0.068007946014404296875 scenario cost: 72456.266622451905277557671070098876953125 Optimization Status: 2 scenario cost: 72456.266622451905277557671070098876953125 optimization time for scenario: 11 = 0.06072902679443359375 scenario cost: 92491.26074317409074865281581878662109375 Optimization Status: 2 scenario cost: 92491.26074317409074865281581878662109375 optimization time for scenario: 12 = 0.0753710269927978515625 scenario cost: 88775.270819344397750683128833770751953125 Optimization Status: 2 scenario cost: 88775.270819344397750683128833770751953125 optimization time for scenario: 13 = 0.0593059062957763671875 scenario cost: 86943.1434099416364915668964385986328125 Optimization Status: 2 scenario cost: 86943.1434099416364915668964385986328125 optimization time for scenario: 14 = 0.0616700649261474609375 scenario cost: 101408.023973917341209016740322113037109375 Optimization Status: 2 scenario cost: 101408.023973917341209016740322113037109375 optimization time for scenario: 15 = 0.0593960285186767578125 scenario cost: 86093.80241216966533102095127105712890625 Optimization Status: 2 scenario cost: 86093.80241216966533102095127105712890625 optimization time for scenario: 16 = 0.053842067718505859375 scenario cost: 82345.15929897522437386214733123779296875 Optimization Status: 2 scenario cost: 82345.15929897522437386214733123779296875 optimization time for scenario: 17 = 0.062553882598876953125 scenario cost: 102633.689742189264507032930850982666015625 Optimization Status: 2 scenario cost: 102633.689742189264507032930850982666015625 optimization time for scenario: 18 = 0.057263851165771484375 scenario cost: 88082.226502509103738702833652496337890625 Optimization Status: 2 scenario cost: 88082.226502509103738702833652496337890625 optimization time for scenario: 19 = 0.0579259395599365234375 Sending cuts of back to the stg 1 solver Objective Value 14818.670318662681893329136073589324951171875 memory usage: 112263880 received node: gen cut: Rental Cost 0 scenario cost: 97270.925917092987219803035259246826171875 Optimization Status: 2 scenario cost: 97270.925917092987219803035259246826171875 optimization time for scenario: 60 = 0.0654571056365966796875 scenario cost: 80193.187077395501546561717987060546875 Optimization Status: 2 scenario cost: 80193.187077395501546561717987060546875 optimization time for scenario: 61 = 0.0501348972320556640625 scenario cost: 81843.094452592995367012917995452880859375 Optimization Status: 2 scenario cost: 81843.094452592995367012917995452880859375 optimization time for scenario: 62 = 0.0516340732574462890625 scenario cost: 82687.02787157727289013564586639404296875 Optimization Status: 2 scenario cost: 82687.02787157727289013564586639404296875 optimization time for scenario: 63 = 0.05593395233154296875 scenario cost: 97758.9643601006828248500823974609375 Optimization Status: 2 scenario cost: 97758.9643601006828248500823974609375 optimization time for scenario: 64 = 0.057837009429931640625 scenario cost: 98834.49827860482037067413330078125 Optimization Status: 2 scenario cost: 98834.49827860482037067413330078125 optimization time for scenario: 65 = 0.052340984344482421875 scenario cost: 90047.006723341924953274428844451904296875 Optimization Status: 2 scenario cost: 90047.006723341924953274428844451904296875 optimization time for scenario: 66 = 0.0540440082550048828125 scenario cost: 82928.038874274468980729579925537109375 Optimization Status: 2 scenario cost: 82928.038874274468980729579925537109375 optimization time for scenario: 67 = 0.05455493927001953125 scenario cost: 83119.927817257397691719233989715576171875 Optimization Status: 2 scenario cost: 83119.927817257397691719233989715576171875 optimization time for scenario: 68 = 0.0560169219970703125 scenario cost: 87400.48030620135250501334667205810546875 Optimization Status: 2 scenario cost: 87400.48030620135250501334667205810546875 optimization time for scenario: 69 = 0.05338382720947265625 scenario cost: 78542.2221820729901082813739776611328125 Optimization Status: 2 scenario cost: 78542.2221820729901082813739776611328125 optimization time for scenario: 70 = 0.1792829036712646484375 scenario cost: 102274.48725737186032347381114959716796875 Optimization Status: 2 scenario cost: 102274.48725737186032347381114959716796875 optimization time for scenario: 71 = 0.180027008056640625 scenario cost: 96624.324269518037908710539340972900390625 Optimization Status: 2 scenario cost: 96624.324269518037908710539340972900390625 optimization time for scenario: 72 = 0.191677093505859375 scenario cost: 97199.697727826525806449353694915771484375 Optimization Status: 2 scenario cost: 97199.697727826525806449353694915771484375 optimization time for scenario: 73 = 0.1980907917022705078125 scenario cost: 83755.529163939572754316031932830810546875 Optimization Status: 2 scenario cost: 83755.529163939572754316031932830810546875 optimization time for scenario: 74 = 0.3218090534210205078125 scenario cost: 100648.885105957553605549037456512451171875 Optimization Status: 2 scenario cost: 100648.885105957553605549037456512451171875 optimization time for scenario: 75 = 0.2727420330047607421875 scenario cost: 89324.185766311406041495501995086669921875 Optimization Status: 2 scenario cost: 89324.185766311406041495501995086669921875 optimization time for scenario: 76 = 0.379951953887939453125 scenario cost: 91597.530938870622776448726654052734375 Optimization Status: 2 scenario cost: 91597.530938870622776448726654052734375 optimization time for scenario: 77 = 0.383512973785400390625 scenario cost: 87695.083324490420636720955371856689453125 Optimization Status: 2 scenario cost: 87695.083324490420636720955371856689453125 optimization time for scenario: 78 = 0.319758892059326171875 scenario cost: 84716.753517338423989713191986083984375 Optimization Status: 2 scenario cost: 84716.753517338423989713191986083984375 optimization time for scenario: 79 = 0.3630220890045166015625 Sending cuts of back to the stg 1 solver Objective Value 14953.788942372775636613368988037109375 memory usage: 112265400 received node: gen cut: Rental Cost 0 scenario cost: 97787.795143510258640162646770477294921875 Optimization Status: 2 scenario cost: 97787.795143510258640162646770477294921875 optimization time for scenario: 60 = 0.0618331432342529296875 scenario cost: 80624.37584708901704289019107818603515625 Optimization Status: 2 scenario cost: 80624.37584708901704289019107818603515625 optimization time for scenario: 61 = 0.0565841197967529296875 scenario cost: 82286.648340844651102088391780853271484375 Optimization Status: 2 scenario cost: 82286.648340844651102088391780853271484375 optimization time for scenario: 62 = 0.063951015472412109375 scenario cost: 83152.43562701166956685483455657958984375 Optimization Status: 2 scenario cost: 83152.43562701166956685483455657958984375 optimization time for scenario: 63 = 0.08737087249755859375 scenario cost: 98190.42103701565065421164035797119140625 Optimization Status: 2 scenario cost: 98190.42103701565065421164035797119140625 optimization time for scenario: 64 = 0.1253049373626708984375 scenario cost: 99279.63534203727613203227519989013671875 Optimization Status: 2 scenario cost: 99279.63534203727613203227519989013671875 optimization time for scenario: 65 = 0.1093351840972900390625 scenario cost: 90495.91113466638489626348018646240234375 Optimization Status: 2 scenario cost: 90495.91113466638489626348018646240234375 optimization time for scenario: 66 = 0.089211940765380859375 scenario cost: 83362.29990286906831897795200347900390625 Optimization Status: 2 scenario cost: 83362.29990286906831897795200347900390625 optimization time for scenario: 67 = 0.0577518939971923828125 scenario cost: 83563.533486170883406884968280792236328125 Optimization Status: 2 scenario cost: 83563.533486170883406884968280792236328125 optimization time for scenario: 68 = 0.059503078460693359375 scenario cost: 87850.600226245936937630176544189453125 Optimization Status: 2 scenario cost: 87850.600226245936937630176544189453125 optimization time for scenario: 69 = 0.060043811798095703125 scenario cost: 78988.801700024909223429858684539794921875 Optimization Status: 2 scenario cost: 78988.801700024909223429858684539794921875 optimization time for scenario: 70 = 0.0620300769805908203125 scenario cost: 102699.080601105015375651419162750244140625 Optimization Status: 2 scenario cost: 102699.080601105015375651419162750244140625 optimization time for scenario: 71 = 0.06270694732666015625 scenario cost: 97055.8076832467340864241123199462890625 Optimization Status: 2 scenario cost: 97055.8076832467340864241123199462890625 optimization time for scenario: 72 = 0.06136989593505859375 scenario cost: 97670.577300503340666182339191436767578125 Optimization Status: 2 scenario cost: 97670.577300503340666182339191436767578125 optimization time for scenario: 73 = 0.062255859375 scenario cost: 84187.88628933540894649922847747802734375 Optimization Status: 2 scenario cost: 84187.88628933540894649922847747802734375 optimization time for scenario: 74 = 0.0583550930023193359375 scenario cost: 101104.714509299679775722324848175048828125 Optimization Status: 2 scenario cost: 101104.714509299679775722324848175048828125 optimization time for scenario: 75 = 0.0583760738372802734375 scenario cost: 89790.288110137262265197932720184326171875 Optimization Status: 2 scenario cost: 89790.288110137262265197932720184326171875 optimization time for scenario: 76 = 0.0556299686431884765625 scenario cost: 92053.49576837485074065625667572021484375 Optimization Status: 2 scenario cost: 92053.49576837485074065625667572021484375 optimization time for scenario: 77 = 0.0553739070892333984375 scenario cost: 88142.6767524754977785050868988037109375 Optimization Status: 2 scenario cost: 88142.6767524754977785050868988037109375 optimization time for scenario: 78 = 0.0549218654632568359375 scenario cost: 85150.8359169992618262767791748046875 Optimization Status: 2 scenario cost: 85150.8359169992618262767791748046875 optimization time for scenario: 79 = 0.054090976715087890625 Sending cuts of back to the stg 1 solver Objective Value 15028.588391397332088672555983066558837890625 memory usage: 112266920 received node: gen cut: Rental Cost 0 scenario cost: 83331.200504403459490276873111724853515625 Optimization Status: 2 scenario cost: 83331.200504403459490276873111724853515625 optimization time for scenario: 80 = 0.060019969940185546875 scenario cost: 100015.1224608484772033989429473876953125 Optimization Status: 2 scenario cost: 100015.1224608484772033989429473876953125 optimization time for scenario: 81 = 0.0527400970458984375 scenario cost: 79494.35691747922101058065891265869140625 Optimization Status: 2 scenario cost: 79494.35691747922101058065891265869140625 optimization time for scenario: 82 = 0.05196380615234375 scenario cost: 92372.819579782677465118467807769775390625 Optimization Status: 2 scenario cost: 92372.819579782677465118467807769775390625 optimization time for scenario: 83 = 0.0594069957733154296875 scenario cost: 84144.14355012981104664504528045654296875 Optimization Status: 2 scenario cost: 84144.14355012981104664504528045654296875 optimization time for scenario: 84 = 0.0575039386749267578125 scenario cost: 89599.487059878287254832684993743896484375 Optimization Status: 2 scenario cost: 89599.487059878287254832684993743896484375 optimization time for scenario: 85 = 0.0589389801025390625 scenario cost: 97295.705207048580632545053958892822265625 Optimization Status: 2 scenario cost: 97295.705207048580632545053958892822265625 optimization time for scenario: 86 = 0.055860996246337890625 scenario cost: 82492.6012048966367729008197784423828125 Optimization Status: 2 scenario cost: 82492.6012048966367729008197784423828125 optimization time for scenario: 87 = 0.0647561550140380859375 scenario cost: 80144.013215076804044656455516815185546875 Optimization Status: 2 scenario cost: 80144.013215076804044656455516815185546875 optimization time for scenario: 88 = 0.072224140167236328125 scenario cost: 81097.16300253311055712401866912841796875 Optimization Status: 2 scenario cost: 81097.16300253311055712401866912841796875 optimization time for scenario: 89 = 0.0727710723876953125 scenario cost: 90348.032653127680532634258270263671875 Optimization Status: 2 scenario cost: 90348.032653127680532634258270263671875 optimization time for scenario: 90 = 0.0622680187225341796875 scenario cost: 88418.829991435733973048627376556396484375 Optimization Status: 2 scenario cost: 88418.829991435733973048627376556396484375 optimization time for scenario: 91 = 0.0594501495361328125 scenario cost: 86701.696729636911186389625072479248046875 Optimization Status: 2 scenario cost: 86701.696729636911186389625072479248046875 optimization time for scenario: 92 = 0.0760481357574462890625 scenario cost: 103146.5395109959063120186328887939453125 Optimization Status: 2 scenario cost: 103146.5395109959063120186328887939453125 optimization time for scenario: 93 = 0.1193459033966064453125 scenario cost: 91852.6006605113507248461246490478515625 Optimization Status: 2 scenario cost: 91852.6006605113507248461246490478515625 optimization time for scenario: 94 = 0.1231448650360107421875 scenario cost: 89860.640861430743825621902942657470703125 Optimization Status: 2 scenario cost: 89860.640861430743825621902942657470703125 optimization time for scenario: 95 = 0.139955043792724609375 scenario cost: 83822.069014665103168226778507232666015625 Optimization Status: 2 scenario cost: 83822.069014665103168226778507232666015625 optimization time for scenario: 96 = 0.1531260013580322265625 scenario cost: 89799.6716824010363779962062835693359375 Optimization Status: 2 scenario cost: 89799.6716824010363779962062835693359375 optimization time for scenario: 97 = 0.1203510761260986328125 scenario cost: 93308.843483922421000897884368896484375 Optimization Status: 2 scenario cost: 93308.843483922421000897884368896484375 optimization time for scenario: 98 = 0.09669208526611328125 scenario cost: 93938.390627203625626862049102783203125 Optimization Status: 2 scenario cost: 93938.390627203625626862049102783203125 optimization time for scenario: 99 = 0.0558261871337890625 Sending cuts of back to the stg 1 solver Objective Value 14843.140026514132841839455068111419677734375 memory usage: 112268440 received node: gen cut: Rental Cost 0 scenario cost: 83053.73627981674508191645145416259765625 Optimization Status: 2 scenario cost: 83053.73627981674508191645145416259765625 optimization time for scenario: 80 = 0.108509063720703125 scenario cost: 99966.606354474221006967127323150634765625 Optimization Status: 2 scenario cost: 99966.606354474221006967127323150634765625 optimization time for scenario: 81 = 0.112309932708740234375 scenario cost: 79164.181318645991268567740917205810546875 Optimization Status: 2 scenario cost: 79164.181318645991268567740917205810546875 optimization time for scenario: 82 = 0.1194760799407958984375 scenario cost: 92082.716492552382987923920154571533203125 Optimization Status: 2 scenario cost: 92082.716492552382987923920154571533203125 optimization time for scenario: 83 = 0.12621593475341796875 scenario cost: 83635.84049831956508569419384002685546875 Optimization Status: 2 scenario cost: 83635.84049831956508569419384002685546875 optimization time for scenario: 84 = 0.1341350078582763671875 scenario cost: 89221.143141844964702613651752471923828125 Optimization Status: 2 scenario cost: 89221.143141844964702613651752471923828125 optimization time for scenario: 85 = 0.1111888885498046875 scenario cost: 97055.876259311204194091260433197021484375 Optimization Status: 2 scenario cost: 97055.876259311204194091260433197021484375 optimization time for scenario: 86 = 0.0625669956207275390625 scenario cost: 82161.78447592258453369140625 Optimization Status: 2 scenario cost: 82161.78447592258453369140625 optimization time for scenario: 87 = 0.05889797210693359375 scenario cost: 79820.3732167966663837432861328125 Optimization Status: 2 scenario cost: 79820.3732167966663837432861328125 optimization time for scenario: 88 = 0.0591220855712890625 scenario cost: 80626.01578526175580918788909912109375 Optimization Status: 2 scenario cost: 80626.01578526175580918788909912109375 optimization time for scenario: 89 = 0.0630609989166259765625 scenario cost: 90107.132302305661141872406005859375 Optimization Status: 2 scenario cost: 90107.132302305661141872406005859375 optimization time for scenario: 90 = 0.0651271343231201171875 scenario cost: 88187.93443634291179478168487548828125 Optimization Status: 2 scenario cost: 88187.93443634291179478168487548828125 optimization time for scenario: 91 = 0.1179192066192626953125 scenario cost: 86401.680202663876116275787353515625 Optimization Status: 2 scenario cost: 86401.680202663876116275787353515625 optimization time for scenario: 92 = 0.187901973724365234375 scenario cost: 102938.772912832369911484420299530029296875 Optimization Status: 2 scenario cost: 102938.772912832369911484420299530029296875 optimization time for scenario: 93 = 0.1142470836639404296875 scenario cost: 91692.668905488782911561429500579833984375 Optimization Status: 2 scenario cost: 91692.668905488782911561429500579833984375 optimization time for scenario: 94 = 0.062841892242431640625 scenario cost: 89541.8584947783383540809154510498046875 Optimization Status: 2 scenario cost: 89541.8584947783383540809154510498046875 optimization time for scenario: 95 = 0.0605499744415283203125 scenario cost: 83417.239046538292313925921916961669921875 Optimization Status: 2 scenario cost: 83417.239046538292313925921916961669921875 optimization time for scenario: 96 = 0.0606000423431396484375 scenario cost: 89563.767087641273974440991878509521484375 Optimization Status: 2 scenario cost: 89563.767087641273974440991878509521484375 optimization time for scenario: 97 = 0.0605289936065673828125 scenario cost: 93072.48928426406928338110446929931640625 Optimization Status: 2 scenario cost: 93072.48928426406928338110446929931640625 optimization time for scenario: 98 = 0.0579931735992431640625 scenario cost: 93672.074252710634027607738971710205078125 Optimization Status: 2 scenario cost: 93672.074252710634027607738971710205078125 optimization time for scenario: 99 = 0.0402228832244873046875 Sending cuts of back to the stg 1 solver Objective Value 14794.806576774577479227446019649505615234375 memory usage: 112269960 received node: gen cut: Rental Cost 0 scenario cost: 89149.240046254781191237270832061767578125 Optimization Status: 2 scenario cost: 89149.240046254781191237270832061767578125 optimization time for scenario: 20 = 0.0676250457763671875 scenario cost: 78562.661202198258251883089542388916015625 Optimization Status: 2 scenario cost: 78562.661202198258251883089542388916015625 optimization time for scenario: 21 = 0.1226379871368408203125 scenario cost: 78381.95552362152375280857086181640625 Optimization Status: 2 scenario cost: 78381.95552362152375280857086181640625 optimization time for scenario: 22 = 0.1199800968170166015625 scenario cost: 87161.504891084638074971735477447509765625 Optimization Status: 2 scenario cost: 87161.504891084638074971735477447509765625 optimization time for scenario: 23 = 0.068995952606201171875 scenario cost: 71902.89940798419411294162273406982421875 Optimization Status: 2 scenario cost: 71902.89940798419411294162273406982421875 optimization time for scenario: 24 = 0.06478595733642578125 scenario cost: 88901.795462224763468839228153228759765625 Optimization Status: 2 scenario cost: 88901.795462224763468839228153228759765625 optimization time for scenario: 25 = 0.0630381107330322265625 scenario cost: 78340.5576046193600632250308990478515625 Optimization Status: 2 scenario cost: 78340.5576046193600632250308990478515625 optimization time for scenario: 26 = 0.0758569240570068359375 scenario cost: 81952.681757956350338645279407501220703125 Optimization Status: 2 scenario cost: 81952.681757956350338645279407501220703125 optimization time for scenario: 27 = 0.069181919097900390625 scenario cost: 94069.501567057726788334548473358154296875 Optimization Status: 2 scenario cost: 94069.501567057726788334548473358154296875 optimization time for scenario: 28 = 0.134151935577392578125 scenario cost: 85141.334810259097139351069927215576171875 Optimization Status: 2 scenario cost: 85141.334810259097139351069927215576171875 optimization time for scenario: 29 = 0.103939056396484375 scenario cost: 113959.632072403139318339526653289794921875 Optimization Status: 2 scenario cost: 113959.632072403139318339526653289794921875 optimization time for scenario: 30 = 0.1033799648284912109375 scenario cost: 90965.48961492485250346362590789794921875 Optimization Status: 2 scenario cost: 90965.48961492485250346362590789794921875 optimization time for scenario: 31 = 0.119163990020751953125 scenario cost: 103382.19916519612888805568218231201171875 Optimization Status: 2 scenario cost: 103382.19916519612888805568218231201171875 optimization time for scenario: 32 = 0.122248172760009765625